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gD2.2: Project KPIs definition and measurement methods
gD2.2:Project KPIs definition and measurement methods
30 October 2012 2/59
ID & Title : gD2.2 Project KPIs definition and measurement methods
Version : V2.0 Number of pages : 59
Short Description
This deliverable defines the KPIs and measurement methods of the project.
Revision history
Version Date Modifications’ nature Author
V0.1 05/07/2012 Document initialisation ENEL Distribuzione
V0.2 22/08/2012 Corrections from partners, Executive Summary, Acronyms, References
ENEL Distribuzione
V0.3 04/09/2012 Modification to name of KPI GWP2.2_KPI_2, and new KPI proposal GWP2.2_KPI_8 related to use of standards. Other minor modifications.
ENEL Distribuzione
V1.0 10/09/2012 Minor changes ENEL Distribuzione
V1.1 28/09/2012 Editorial changes (characters styles) ENEL Distribuzione
V2.0 05/10/12 Update of ID page ENEL Distribuzione
Accessibility
Public Consortium + EC Restricted to a specific Group + EC Confidential + EC
If restricted, please specify here the group
Owner / Main responsible
Name (s) Function Company Visa
Lilia Consiglio Grid4EU Technical Director
ENEL Distribuzione
Lilia Consiglio
Author (s) / Contributor (s) : Company name (s)
Author: ENEL Distribuzione Contributors: CEZ, ERDF, IBERDROLA, RWE, VATTENFALL
Reviewer (s) : Company name (s)
Company Visa
CEZ, ENEL Distribuzione, ERDF,IBERDROLA, RWE, VATTENFALL
Review validated by Technical Committee on October 05
th 2012
Approver (s) : Company name (s)
Company Visa
CEZ, ENEL Distribuzione, ERDF, IBERDROLA, RWE, VATTENFALL
Approved by Steering Committee on October 15th 2012
Work Package ID: GWP 2 Task ID: GWP 2.2
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Executive Summary
As defined in the Description of Work, the scope of GWP2.2 is the Definition of the Key Performance Indicators of the Project, which will allow measuring the success of the Project in relation to its overall technical objectives. It should be noted that GRID4EU Project KPIs are those indicators that are common across at least two different DEMOs. The precise measurement methodologies and specificities will be DEMO specific. For this task, a common template was created for the definition of these Key Performance Indicators. This template is also used in the DEMO specific KPIs. The template has been organized into four main sections:
Basic KPI Information - General Project KPI Information (common to different DEMOs)
KPI Calculation Methodology – Methodology for calculating KPI (DEMO specific)
KPI Data Collection – Data required to collect for calculating indicator (DEMO specific)
KPI Baseline – Baseline for calculating KPI (DEMO specific)
Two types of KPIs have been defined; Technical and Social. Regarding the lack of economic KPIs, it was considered that at this stage of KPI definition, it is very difficult to foresee a measurable economic Key Performance Indicator. This will be considered later on if an economic translation of the technical benefits measured in the project future can be proposed, but at this stage of KPI definition, no economic indicator is defined. Furthermore, a reasonable economic indicator would be related to deployment activities where full cost-benefit analysis can be performed, and not only demonstration activities. The list of GRID4EU Project KPIs is provided below:
Grid4EU KPI Family KPI ID KPI TYPE KPI Description
Energy losses GWP2.2_KPI_1
Technical
The monitoring and in some cases minimization of energy losses through different solutions presented in DEMO projects.
Fault Awareness, Localization and Isolation Time
GWP2.2_KPI_2 Faster reaction time to grid failures and faults
Network Hosting Capacity
GWP2.2_KPI_3 Increased hosting capacity of RES in the MV and LV grid
Line voltage profiles GWP2.2_KPI_4 Power Quality improvements (in this case voltage quality)
Islanding GWP2.2_KPI_5 Voltage deviation during islanding
Use of standards GWP2.2_KPI_8 Actual use of standards in different DEMOs with respect to initially described use.
Recruitment GWP2.2_KPI_6
Social
Fraction of consumers and producers accepting participation in the different demos
Active participation GWP2.2_KPI_7 Fraction of consumers/producers actively taking part in the different demos
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Table of contents
EXECUTIVE SUMMARY ........................................................................................ 3
TABLE OF CONTENTS ......................................................................................... 4
LIST OF FIGURES & TABLES .............................................................................. 5
1 INTRODUCTION ................................................................................................. 6
1.1 Scope of the Document ................................................................................ 6
1.1 Structure of the Document ........................................................................... 6
1.2 Notations, abbreviations and acronyms ....................................................... 6
2 SUMMARY LIST OF GRID4EU PROJECT KPIS ............................................... 7
3 RELATIONSHIP WITH GRID4EU USE CASES ............................................... 12
4 DETAILS OF GRID4EU PROJECT KPIS ......................................................... 13
4.1 Technical KPIs ........................................................................................... 13
4.1.1 Energy Losses ................................................................................. 13
4.1.2 Fault Awareness, Localization and Isolation Times .......................... 20
4.1.3 Network Hosting Capacity ................................................................ 26
4.1.4 Line Voltage Profiles ........................................................................ 32
4.1.5 Islanding ........................................................................................... 41
4.1.6 Use of standards .............................................................................. 46
4.2 Social KPIs ................................................................................................. 51
4.2.1 Recruitment ...................................................................................... 51
4.2.2 Active Participation ........................................................................... 55
5 REFERENCES .................................................................................................. 59
5.1 Project Documents ..................................................................................... 59
5.2 External documents .................................................................................... 59
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List of figures & tables
Figure 1: GRID4EU Project KPIs ................................................................................................................. 7
Figure 2: Precise Formulas for GRID4EU Project KPIs ................................................................. 10
Figure 3: Mapping GRID4EU Project KPIs / applicable DEMO .................................................. 11
Figure 4: Matrix GRID4EU Project KPI --> Use Cases .................................................................. 12
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1 Introduction
1.1 Scope of the Document The aim of this document is to define a first set of GRID4EU Project KPIs. GRID4EU Project KPIs are
defined as those indicators that are common across different DEMOs. This means that different
demonstration projects providing different solutions will use these same indicators to measure specific
benefits brought about by tested solutions in the different demonstration projects. The methodology for
measuring these indicators will vary from DEMO to DEMO, but the indicator definition could be common
to the different demos. The deliverable is divided into four simple chapters.
1.1 Structure of the Document
Chapter 2 provides a summary of the list of GRID4EU Project KPIs, chapter 3 describes the relationship
these KPIs have with defined Use Cases in GWP2.1, while chapter 4 provides the detailed calculation
methodologies per DEMO of all the defined GRID4EU Project KPIs.
1.2 Notations, abbreviations and acronyms
DER Distributed Energy Resources
HC Hosting Capacity
IED Intelligent Electronic Devices
KPI Key performance indicator
LV Low Voltage
MV Medium Voltage
SCADA Supervisory Control and Data Acquisition
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2 Summary List of GRID4EU Project KPIs
The seven proposed KPIs are detailed below. Five indicators will monitor technical aspects of the
DEMOs, while two will be “softer” indicators, measuring social aspects of the different DEMOs.
Related to missing a definition of a GRID4EU economic indicators, it was considered that at this stage of
KPI definition, it is very difficult to foresee a measurable economic Key Performance Indicator. This will
be considered later on if an economic translation of the technical benefits measured in the project future
can be proposed, but at this stage of KPI definition, no economic indicator is defined. Furthermore, a
reasonable economic indicator would be related to deployment activities where full cost-benefit analysis
can be performed, and not only demonstration activities.
Grid4EU KPI Family
KPI ID KPI
TYPE KPI Description
Energy losses GWP2.2_KPI_1
Technical
The monitoring and in some cases minimization of energy losses through different solutions presented in DEMO projects.
Fault Awareness, Localization and Isolation Time
GWP2.2_KPI_2 Faster reaction time to grid failures and faults
Network Hosting Capacity
GWP2.2_KPI_3 Increased hosting capacity of RES in the MV and LV grid
Line voltage profiles GWP2.2_KPI_4 Power Quality improvements (in this case voltage quality)
Islanding GWP2.2_KPI_5 Voltage deviation during islanding
Use of standards GWP2.2_KPI_8 Actual use of standards in different DEMOs with respect to initially declared use
Recruitment GWP2.2_KPI_6 Social
Fraction of consumers and producers accepting participation in the different demos
Active participation GWP2.2_KPI_7 Fraction of consumers/producers actively taking part in the different demos
Figure 1: GRID4EU Project KPIs
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Further details of measurement methodology of the different KPIs.
KPI Family
KPI Definition/Formulae
Energy losses (GWP2.2_KPI_1)
= Percentage reduction in energy losses (specific to each DEMO)
= Baseline Energy losses (kWh)
= Energy losses with Smart Grid solutions (kWh)
Fault Awareness, Localization and Isolation Time (GWP2.2_KPI_2)
= Percentage reduction in time required for fault awareness, localization and isolation
= Average time required for fault awareness, localization and isolation with Smart Grid
Solutions
= Average time required for fault awareness, localization and isolation in Baseline
situation
Network Hosting Capacity
(GWP2.2_KPI_3)
= fraction of additional DER that can be connected.
= Hosting Capacity of DER with Smart Grid solutions (MW). This hosting capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).
= Hosting Capacity of DER in Baseline situation (MW). This hosting capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).
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Line voltage profiles (GWP2.2_KPI_4)
= evolution of the line voltage profiles, specific per DEMO.
= line voltage profiles with SG solutions (precise definition of VSG is specific to every DEMO).
= line voltage profiles in baseline situation with SG solutions (precise definition of Vbaseline is specific to every DEMO).
Islanding (GWP2.2_KPI_5)
√∑
= voltage deviation during islanding
= measurement of the voltage for each time step t
= distribution transformer/ MV feeder voltage set point
Use of standards
Pg
Pg-Baseline
Pg-
HCBaseline
HCSG
ΔHC
P
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(GWP2.2_KPI_8)
Recruitment (GWP2.2_KPI_6)
= fraction of producers/consumers who agree to be part of the demo;
= number of producers/consumers involved in the demo (for instance hosting
equipments);
= number of producers/consumers contacted to be part of the demo.
Active Participation (GWP2.2_KPI_7)
Where:
- = the ratio of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO)..
- = the number of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO).
- , = the number of customers/producers that accepted participating in demo.
Figure 2: Precise Formulas for GRID4EU Project KPIs
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Related to the DEMOs for which these KPIs apply, this is detailed in the figure below:
RWE VATTENFALL IBERDROLA ENEL CEZ ERDF
Energy losses (GWP2.2_KPI_1)
Fault Awareness, Localization and Isolation Time (GWP2.2_KPI_2)
Network Hosting Capacity (GWP2.2_KPI_3)
Line voltage profiles (GWP2.2_KPI_4)
Islanding metric (GWP2.2_KPI_5)
Use of standards (GWP2.2_KPI_8)
Recruitment (GWP2.2_KPI_6)
Active Participation (GWP2.2_KPI_7)
Figure 3: Mapping GRID4EU Project KPIs / applicable DEMO
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3 Relationship with GRID4EU Use Cases
The table below summarizes the close relationship with the GRID4EU Use Cases and the defined GRID4EU Project Key Performance Indicators.
Figure 4: Matrix GRID4EU Project KPI --> Use Cases
From the table it can be seen that the “Energy Losses” is not addressed by any Use Case. The main reason for this is that “Energy Losses” is not the target of any GRID4EU Demo, but a parameter that will be monitored and measured in many of the different demonstration sites. For additional details on the Use Cases of the different DEMOs please refer to GWP2.1 results (gD2.1).
VATTENFAL
LUC 1
Failure
Management
in MV
networks
UC 2
Load
Control in
MV
networks
UC 1
Outage
Detection in
the LV
Network
UC 1
Automatic
Failure
Detection
UC 2
Automatic
Grid
Recovery
UC 3
Secondary
Substation
Node (SSN)
UC 4
Customer
Engagement
UC 1
Voltage
Control on
MV Grids
UC 2
Anti-
islanding
Protection
on MV Grids
UC 1
LV Grid
Automation
of Failure
Management
UC 2
MV Grid
Automation
of Failure
Management
UC 3
Management
of Islanding
operation
UC 1
Islanding
UC 2
Reduction of
power
demand
UC 3
Manage maximised
PV production on
LV network
regarding
constraints and
flexibility
UC 4
Encourage resident
to adopt smarter
habits according to
network state
Energy losses
(GWP2.2_KPI_1)
Fault Awareness,
Localization and
Isolation Time
(GWP2.2_KPI_2)
Network Hosting
Capacity
(GWP2.2_KPI_3)
Line voltage profiles
(GWP2.2_KPI_4)
Islanding metric
(GWP2.2_KPI_5)
Use of standards
(GWP2.2_KPI_8)
Recruitment
(GWP2.2_KPI_6)
Active Participation
(GWP2.2_KPI_7)
RWE IBERDROLA ENEL CEZ
ERDF
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4 Details of GRID4EU Project KPIs
This chapter describes in detail the list of proposed GRID4EU Project KPIs, with the detailed
measurement methodologies and precise formulas applicable to each KPI. As described in Chapter 1,
these are indicators that are common to different DEMOs, even though the specifics, measurement
methodologies, baseline conditions, and precise data required collecting will be strictly related to the
tested solutions, and will therefore vary from DEMO to DEMO.
4.1 Technical KPIs
4.1.1 Energy Losses
BASIC KPI INFORMATION
KPI Name Percentage reduction in Energy Losses KPI ID GWP2.2_KPI_1
Strategic Objective
The monitoring and in some cases minimization of energy losses through different solutions presented in DEMO projects.
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
RWE – IBERDROLA – Jesus Varela ENEL – Enel Manager (tbd) CEZ – Milan Jelínek ERDF – Christophe Lebosse
KPI Description
The current evolution of the electricity grid is driven by environmental considerations and the need to reduce energy consumption. Determining the contribution of new technologies to global energy use is complex and difficult and must be evaluated in the pilot project. In this perspective, the Key Performance Indicator GWP2.2_KPI_1 assesses the energy losses due to different factors in the different DEMOs. Each DEMO will evaluate these losses differently, with the ERDF DEMO performing a measurement of losses due to load shifting (focusing essentially on the use of residential batteries), while the IBERDROLA DEMO will monitor losses at the secondary substation.
KPI Formula
Where:
,%lossesE Percentage change in energy losses (specific to each DEMO) or Percentage of
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energy losses (ERDF)
losses,SG
E Energy losses with Smart Grid solutions (kWh) or Energy flowing out of
batteries (kWh)
losses,Baseline
E Baseline Energy losses (kWh) or Energy flowing into batteries (kWh)
Unit of measurement
% percentage basis
Expectations
RWE – IBERDROLA – ENEL – Constant/Possible increase limited to +x% ČEZ – Reduction in losses by 10% (losses reduction should be 10%). ERDF – Limited energy losses
Reporting Period
RWE - IBERDROLA – Once a year ENEL - Once a year CEZ - Once a year ERDF - Once a year
Relevant Standards
-
Connection / Link with other relevant defined KPIs
-
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
Source data are not to be published and are confidential to each network operator
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO RWE
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_1_RWE 1 Identification of reference case (KPI baseline) today’s grid and load/generation situation
GWP2.2_KPI_1_RWE 2 Set up of grid models for simulations
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(conventional vs. agent system)
GWP2.2_KPI_1_RWE 3 Definition and application of future load/generation scenario
GWP2.2_KPI_1_RWE 4
Consideration of network losses for both ways of reinforcement and different future scenarios by assessment of simulation results
DEMO IBERDROLA
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_1_IBERDROLA 1
Save information before installation of automated nodes.
IBERDROLA
GWP2.2_KPI_1_IBERDROLA 2
Save information after installation of automated nodes.
IBERDROLA
GWP2.2_KPI_1_IBERDROLA 3
Losses will be compared with the MV information collected at Secondary Substation level with information collected at LV line feeders to obtain the losses at SS. The result will be analyzed in order to know if there are aspects that may be improved or not, comparing SS equipments.
Where:
- - , Losses measured. - - , numbers of nodes with losses
measured. - - , total automated nodes.
IBERDROLA
DEMO ENEL KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_1_ENEL 1 Energy grid losses calculation using simulated Load Flow analysis using RSE algorithm
Enel Distribuzione
GWP2.2_KPI_1_ENEL 2 Energy grid losses calculation using DMS, with RSE algorithm loaded in RTDS.
Enel Distribuzione
GWP2.2_KPI_1_ENEL 3
DEMO CEZ KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_1_ČEZ 1
The MV level of the grid will be upgraded by addition of the CHP Unit, transformation of the grid from 10 – 35 kV, and full automation of the MV level of the grid through the
ČEZ Distribuce
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regional SCADA and automation equipment of the grid to get optimal balance among the outlet feeders
GWP2.2_KPI_1_ČEZ 2 The instalation of the remote controlled meter devices on the transformers
ČEZ Distribuce
GWP2.2_KPI_1_ČEZ 3 Losses evaluation ČEZ Distribuce
DEMO ERDF
KPI Step Methodology ID
[KPI ID #]
Step Responsible
GWP2.2_KPI_1_ERDF 1 Description of the study area and determination of the considered batteries (community, residential)
ERDF – EDF R&D
GWP2.2_KPI_1_ERDF 2
Using the load curves provided by the installed meters and sub-meters,
calculation of
∑
ERDF – EDF R&D
GWP2.2_KPI_1_ERDF 3
Using the load curves provided by the installed meters and sub-meters,
calculation of
∑
ERDF – EDF R&D
GWP2.2_KPI_1_ERDF 4 Determination of ERDF – EDF R&D
KPI DATA COLLECTION DEMO RWE
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
DEMO IBERDROLA
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Total automated
nodes
N - DCS DCS Every 3 moths
6 months IBERDROLA
Numbers of nodes with
losses measu
red.
- - - - - -
DEMO ENEL
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Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
- - tbd tbd tbd tbd tbd tbd
DEMO CEZ
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
I [A], U [V]
Baseline data
Measurement
Measurement at summative energy meter, supply – measurement at terminal feeder
Database of Superior SCADA
Continuously
4 hours ČEZ Distribuce
I [A], U [V]
Newly measure
d data
Measurement
Measurement at summative energy meter, supply – measurement at feeder terminal – commercial generation measurement
Database of Superior SCADA
Continuously
4 hours ČEZ Distribuce
DEMO ERDF
Data Data ID Methodology for data collection
Source/Tools/Instruments for Data collection
Location of Data collection
Frequency of data collection
Minimum monitoring period
Data collection responsible
Battery charge/discharge curves
Battery
curves
Manual intervention or automatic metering
Smart meters and sub-meters
In the meter close to the storage unit
As soon as batteries are used
Battery charge/discharge curves
ERDF – EDF R&D
Power flow into a dedicated battery
Manual intervention or automatic metering
Smart meters and sub-meters
In the meter close to the storage unit
As soon as batteries are used
Battery charge/discharge curves
ERDF – EDF R&D
Power flowing out of dedicated battery
Manual intervention or automatic metering
Smart meters and sub-meters
In the meter close to the storage unit
As soon as batteries are used
Battery charge/discharge curves
ERDF – EDF R&D
KPI BASELINE DEMO RWE
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Reference case to be defined for different future scenarios regarding load and generation (RES) for Reken network for conventional reinforcement. Starting with today’s values for network losses for the given grid
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Responsible (Name, Company) for Baseline
DEMO IBERDROLA
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Responsible (Name, Company) for Baseline
IBERDROLA
DEMO ENEL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Using Enel’s DMS, a load flow analysis will be performed at the start of the project to evaluate the energy grid losses without Smart Grid solutions. Similarly, energy grid losses will be recalculated using the algorithm developed by RSE for power flow analysis. For this the network topologies of the final network that will be in place will be required.
Responsible (Name, Company) for Baseline
tbd [Enel]
DEMO CEZ
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
The current grid losses baseline represents the difference between the amount of generated electricity and amount of electricity delivered to customers i.e. consumed electricity measured in kWh at the MV/LV outlets.
Responsible (Name, Company) for Baseline
Milan Jelínek (Smart Region project manager), ČEZ Distribuce
DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
The baseline is the energy flowing into a dedicated battery or a fleet of batteries. The charge/discharge plans will be available thanks to installed smart meters (for the community batteries) or sub-meters (for the residential batteries).
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Responsible (Name, Company) for Baseline
GENERAL COMMENTS
General Comment area to include any information that can be useful that has not been detailed above
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4.1.2 Fault Awareness, Localization and Isolation Times
BASIC KPI INFORMATION
KPI Name Percentage reduction in time required for fault awareness, localization and isolation
KPI ID GWP2.2_KPI_2
Strategic Objective
Faster reaction time to grid failures and faults
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
RWE –
VATTENFALL – Ulf Ysberg IBERDROLA – Jesus Varela ČEZ Distribuce - Milan Jelínek
KPI Description
With the installation of automation solutions in different demos (both LV and MV) the aim is that fault awareness, localization and isolation times will be reduced. This KPI has the aim of verifying that Smart Grid solutions do decrease these times, and also provide an indication of the value of this reduction (if a reduction in these times is observed).
KPI Formula
Where:
= Percentage reduction in time required for fault awareness, localization and
isolation
= Average time required for fault awareness, localization and isolation with Smart
Grid Solutions
= Average time required for fault awareness, localization and isolation in
Baseline situation And Specifically:
isolationfaultonlocalizatifaultawarenessfaultfault TTTT
N
tttT
SGN
i
i
isolationfault
i
onlocalizatifault
i
awarenessfault
fault
1
i
awarenessfaultt Time required for awareness of grid fault i
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i
onlocalizatifaultt Time required for localization of grid fault i
i
isolationfaultt Time required for isolation of grid fault i
N Number of grid faults (with Smart Grid solutions)
Unit of measurement
% percentage basis
Expectations
RWE – VATTENFALL - Should be lower than the time employed by a manual operation in similar situations. IBERDROLA – Should be lower than the time employed by a manual operation in similar situations. ČEZ Distribuce:
LV level: Percentage reduction in time required for fault awareness, localization and isolation should be 80%
MV level: Percentage reduction in time required for fault awareness, localization and isolation should be 60%
Reporting Period
RWE – VATTENFALL - Once a year IBERDROLA – Once a year ČEZ Distribuce - Once a year
Relevant Standards
None
Connection / Link with other relevant defined KPIs
Demo 2 KPI#1: “Detected Failures” (Vattenfall)
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO RWE
KPI Step Methodology ID
[KPI ID #] Step Responsible
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GWP2.2_KPI_2_RWE 1 Step by step methodology on how to calculate defined KPI
Person and Company responsible for specific step in KPI calculation methodology
GWP2.2_KPI_2_RWE 2 GWP2.2_KPI_2_RWE 3
DEMO VATTENFALL
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_2_VTF 1 Timestamp when the failure is identifIed
Vattenfall
GWP2.2_KPI_2_VTF 2 Timestamp when the power is back Vattenfall
GWP2.2_KPI_2_VTF 3 Calculate the quotient in percent with the average duration time for
manual handling as the baseline Vattenfall
DEMO IBERDROLA
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_2_IBERDROLA 1 Find similar failures solved in manual operation. IBERDROLA
GWP2.2_KPI_2_IBERDROLA 2
The complete awareness, localization and isolation time will be given by the following formula: Where:
- , Global resolution time from the moment where an outage is known till the moment in which the service is re-established.
- , Time from “beginning time” to identification of the exact problem.
- , Time from the moment in which they are informed till the moment in which they arrive to Secondary Substation or affected field zone.
- , Time from the moment in which field team arrive to the site till they decide and command the next operations.
- , Time from the end of inspection till the arrival of all means to site.
IBERDROLA
GWP2.2_KPI_2_IBERDROLA 3
Compare resolution times between automatic and manual operation.
IBERDROLA
DEMO CEZ KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_2_ČEZ 1 implementation of the intended technical equipment both at the LV and MV level
GWP2.2_KPI_2_ČEZ 2 setting of the communication means of the substation
GWP2.2_KPI_2_ČEZ 3 arrangement of the current
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protection values
KPI DATA COLLECTION DEMO RWE
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
DEMO VATTENFALL
Data Data ID
Methodology for data collection
Source/Tools/Instruments for Data collection
Location of Data collection
Frequency of data collection
Minimum monitoring period
Data collection responsible
Time to be
aware of a LV
failure
T-1 By use of timestamp
Scada system RTU/Scada Every 3 months
6 months Vattenfall
Average time for manual
fault identific
ation
T-2
By estimated the average time which will serve as the baseline for calculations
Historical values Present systems
Every 3 months
6 months Vattenfall
DEMO IBERDROLA
Data Data
ID
Methodology for data
collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring period
Data collection
responsible
Time from “beginning
time” to identificatio
n of the exact
problem
The “beginning time” is defined as the time when the alarm appears in
DCS. And the identification of the
problem is considered when we have enough information to
send the brigade.
DCS DCS Every 3 moths 6 months IBERDROLA
Time from the moment
in which they are
informed till the moment
in which they arrive
to Secondary Substation or affected field zone.
DCS DCS Every 3 moths 6 months IBERDROLA
Time from the moment
in which field team
arrive to the site till they decide and command the next
operation.
DCS DCS Every 3 moths 6 months IBERDROLA
Time from the end of inspection
DCS DCS Every 3 moths 6 months IBERDROLA
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till the arrival of all
means to site.
DEMO CEZ
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
t[min] Baseline Initiative time, Impulse time
LV- beginning of customer reaction, finishing by work gang manipulation , MV – impulse triggered by protection IED (overcurrent protection device) into Superior SCADA , finishing by work gang manipulation
Database of
Superior SCADA
Continuously
Year ČEZ
Distribuce
t[min] SG Impulse time
LV – initial circuit breakers impulse, finishing executed by remote manipulations provided by operator of regional SCADA,
MV – impulse triggered by protection IED (overcurrent protection device) into Superior SCADA, finishing by remote operation launched by operator of regional SCADA
Database of Superior SCADA
Continuously
one month ČEZ Distribuce
KPI BASELINE DEMO RWE
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Responsible (Name, Company) for Baseline
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DEMO VATTENFALL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
No existing baseline. With influence of KPI#1 in Demo 2 a baseline will be used for all calculations
Responsible (Name, Company) for Baseline
Vattenfall
DEMO IBERDROLA
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
The complete resolution of the outage will be declared when all clients affected has again full service. At the second phase of the project, when new LV information systems will be installed the time may begin with a LV alarm. The difficulty is to establish the difference between manual and automatic operation because it is impossible to have twice the same outage. We will compare with similar incidences.
Responsible (Name, Company) for Baseline
IBERDROLA
DEMO CEZ
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
At present there are any automation components at LV level without any automatic warning mechanism. Grid failure at LV level has to be announced by customers. The failure at the MV could be identified only at four outlets. There are any automation components at the lower part of the MV grid. The baseline is represented by current fault localization and isolation values.
Responsible (Name, Company) for Baseline
Milan Jelínek (Smart Region project manager), ČEZ Distribuce
GENERAL COMMENTS
General Comment area to include any information that can be useful that has not been detailed above
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4.1.3 Network Hosting Capacity
BASIC KPI INFORMATION
KPI Name Percentage increase in network hosting capacity of DER
KPI ID GWP2.2_KPI_3
Strategic Objective Increased RES and DER integration in distribution grids
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
RWE – ENEL –Enel Manager (tbd) ERDF – Christophe Lebosse
KPI Description
This KPI will measure the potential increase in hosting capacity for distributed energy resources with Smart Grid solutions compared to the baseline situation where no “smart” actions are performed on the network. The indicator will give a statement about the additional RES that can be installed in the network thanks to Smart Grid solutions without the need for conventional reinforcements (i.e. new grid lines).
KPI Formula
%HC
HCHCHC
Baseline
BaselineSG
%100
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SG
HC Hosting Capacity of DER with Smart Grid solutions (MW). This hosting
capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).
Baseline
HC Hosting Capacity of DER in Baseline situation (MW). This hosting
capacity should measure the additional DER that can be connected to the grid above that already connected (Pg). Note:
Positive value: HC gain
Negative value: HC loss
Unit of measurement
% percentage base
Expectations
RWE – ENEL – Increase in network hosting capacity
Pg
Pg-Baseline
Pg-
HCBaseline
HCSG
ΔHC
P
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ERDF – Increase of solar power generation
Reporting Period
RWE – ENEL – Once a year ERDF –Average value on a monthly basis
Relevant Standards EN 50160
Connection / Link with other relevant defined KPIs
-
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
To whom will this indicator be reported and access rights. Also indicate here specific access restrictions (if any).
OTHER (please specify)
Indicate specifics of Reporting Audience and Access Rights if OTHER (please specify) was marked above.
KPI CALCULATION METHODOLOGY DEMO RWE
KPI Step Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_3_RWE 1 GWP2.2_KPI_3_RWE 2 GWP2.2_KPI_3_RWE 3
DEMO ENEL
KPI Step Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_3_ENEL 1
Set the appropriate calculation conditions:
- Load condition: minimum load (identical to the baseline condition)
- Distributed Generation (DG) situation: DG enabled on the entire feeder (identical condition to the baseline condition)
- MV busbar set-point: rated voltage (identical condition to the baseline calculation)
- Regulation algorithm: enabled. To simulate the algorithms, all generators must be set to 0.9 inductive power factor (this is a conventional value1)
- Calculation tool: DMS
Gianluca Sapienza, Enel
GWP2.2_KPI_3_ENEL 2 Find the “highest voltage node” HVN Gianluca Sapienza, Enel
GWP2.2_KPI_3_ENEL 3 Install a generator, in the HVN, with no generated active power and 0.9 inductive power factor.
Gianluca Sapienza, Enel
GWP2.2_KPI_3_ENEL 4 Increase the generator power until the voltage, in any node, reaches its maximum
Gianluca Sapienza, Enel
1 Due to these conventional values, the KPI does not evaluate the real regulation algorithm effectiveness
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admissible value, or the current in any branch reaches its maximum admissible value. The corresponding power is the “Smart Grid hosting capacity HCSG” (in kW)
DEMO ERDF KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_3_ERDF 1 On D-day, determination of the maximum value of the
solar power generated over the pilot area: ERDF- EDF R&D
GWP2.2_KPI_3_ERDF 2
Determination of the total capacity of triggered flexibilities at the peak production time:
Note: batteries and water boilers will be metered ( can be measured or equivalent to the NEM output)
ERDF- EDF R&D
GWP2.2_KPI_3_ERDF 3 Deduction of ERDF- EDF R&D
GWP2.2_KPI_3_ERDF 4
Graphically, this is represented below:
= → total capacity of triggered
flexibilities (water boiler, batteries) at the peak production time.
KPI DATA COLLECTION DEMO RWE
Data Data ID Methodology
for data collection
Source/Tools/Instruments
for Data collection
Location of Data collection
Frequency of data
collection
Minimum monitoring period
Data collection responsibl
e
DEMO ENEL
Data Data ID Methodology
for data collection
Source/Tools/Instruments
for Data collection
Location of Data collection
Frequency of data
collection
Minimum monitoring period
Data collection responsibl
e Highes
t Voltage Node
-
Identify highest voltage node (HVN)
DMS Highest voltage node on MV feeder
tbd tbd tbd
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DEMO ERDF
Data Data ID Methodology for data collection
Source/Tools/Instruments for Data collection
Location of Data collection
Frequency of data collection
Minimum monitoring period
Data collection responsible
PV load
curves and
NEM reques
ts
PV curves
and NEM
requests
SI LINKY and SI ERDF
Smart meters and Nice Grid software
Smart meters and NEM
Daily in summer, monthly average
ERDF – EDF R&D
PV load curves and NEM requests
KPI BASELINE DEMO RWE
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF
PROJECT
Details of Baseline
Given grid as of today: Elaboration of potential connected power of RES until thermal limits of lines / assets is reached or voltage band violated. Location and distribution of RES to be agreed on (today’s data available)
Responsible (Name, Company) for Baseline
DEMO ENEL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF
PROJECT
Details of Baseline
Calculation conditions:
1. Load condition: minimum load
2. Distributed Generation (DG) situation: DG enabled on the
entire feeder
3. MV busbar set-point: rated voltage
4. Regulation algorithm: disabled
5. Calculation tool: DMS
Calculation steps:
1. Individuate the “highest voltage node” (HVN)
2. Install a generator, in the HVN, with no generated active
power and unitary power factor
3. Increase the generator power until the voltage, in any node,
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reaches its maximum admissible value, or the current in
any branch reaches its maximum admissible value. The
corresponding power is the “baseline hosting capacity
HCBaseline” (in kW)
Responsible (Name, Company) for Baseline
Gianluca Sapienza (Enel)
DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF
PROJECT
Details of Baseline
The baseline will be deduced from the daily maximum value of the measured solar
power generation. Once this value determined, can be calculated in two
different ways: either we consider as the flexibilities effectively triggered
when the solar generation reaches its maximum (meters on water boilers and
batteries), or we consider as the demand response request calculated by the
Network Energy Manager for the corresponding time step. Responsible (Name, Company) for Baseline
GENERAL COMMENTS
General Comment area to include any information that can be useful that has not been detailed above
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4.1.4 Line Voltage Profiles
BASIC KPI INFORMATION
KPI Name Percentage improvement in line voltage profiles fulfilling grid nominal voltage requirements, as defined in EN 50160 standard
KPI ID GWP2.2_KPI_4
Strategic Objective
Power Quality improvements (in this case voltage quality)
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
ENEL – Enel Manager (tbd) CEZ – Milan Jelínek ERDF – Christophe Lebossé
KPI Description
With an increasing presence of DER in the LV network (CHP in the case of CEZ DEMO, PV in the case of ERDF and ENEL), line voltage profiles will vary not only because of the presence of different loads along the network, but also the introduction of variable generation. This phenomenon must be clearly monitored and it must be ensured that desired voltage levels are kept within the defined standard limits, as defined in the EN 50160 standard. Within each DEMO, this KPI will be monitored in slightly different ways, which is further detailed further below. For example, in the case of the CEZ demo, the number of voltage line violations will be measured, while in the case of the ERDF DEMO, it is not expected that voltage line violations occur, so an assessment of voltage deviation will be performed (how much "dispersion" exists from the set voltage average value – which will be close to 230V) between a baseline (without flexibilities) and the future Nice Grid situation (with flexibilities). Distribution of voltage line measurements, violations occur at ± 10% of Voltage reference:
Time measurement of voltage line violations:
Vlim,max
(+10%)
Vlim,min (-
10%)
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KPI Formula
Regarding the precise definition of what is meant by Vbaseline and VSG, each specific DEMO will define these values.
Specifically, the precise definitions per DEMO are:
CEZ DEMO
V(t)
t
Vref
tbaseline,1
tref
tbaseline,2
tbaseline,3
tbaseline,4
tbaseline,5
tbaseline,5
tbaseline,6
tSG,1
Vlim,max
Vlim,min
Vbaseline
(t)
VSG
(t)
ΔVmax
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Related to reduction of percentage of measured voltage samples fulfilling the ± 10% voltage limits:
Where:
,%itlim
U Percentage improvement in measured voltage samples fulfilling the
± 10% voltage limits, as defined in EN 50160 standard
,%SGitlim
U Percentage of measured voltage samples fulfilling the ± 10%
voltage limits condition according to EN 50160 standard (with Smart Grid solutions)
,%Baselineitlim
U Percentage of measured voltage samples fulfilling the ± 10%
voltage limits condition according to EN 50160 standard (Baseline situation)
Related to total time for which measured voltages are outside ± 10% voltage limits:
Where: = Reduction in time for which measured voltage samples are outside the ± 10% voltage limits, as defined in EN 50160 standard
= Percentage of time for which measured voltage samples are out of the ± 10% voltage limits, as defined in EN 50160 standard (with Smart Grid solutions) = Percentage of time for which measured voltage samples are out of the ± 10% voltage limits, as defined in EN 50160 standard (Baseline situation)
Where:
∑
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∑
i,SG
t Time period for which voltage measurement i is outside ± 10% voltage
limits, as defined in EN 50160 standard (with Smart Grid solutions)
i,baseline
t Time period for which voltage measurement i is outside ± 10%
voltage limits, as defined in EN 50160 standard (baseline situation)
ref
t Total reference period for which measurements are taken (view graph)
ENEL DEMO In the Enel DEMO, voltage line profiles will be monitored through two values that are directly retrieved from power quality instrumentation; Vmax and V95% : Vmax = The maximum reached line voltage during defined monitoring period (i.e. 100 days) V95% = The 95% percentage voltage value during monitoring period (i.e. 100 days), the value for which 95% of all voltage line measurements fall below. In the case that V95% is below voltage limits (+10% Vref), this would comply with the EN50160 standard, as the standard indicates that 95% of all voltage samples must be within samples. If however V95% is above +10% Vref, the EN50160 standard would be violated. The precise indicators related to the percentage improvement in voltage line violations would therefore be defined as:
%100max
maxmax
%max
Baseline
SGBaseline
V
VVVV
Positive value: Maximum measured line voltage has been reduced
Negative value: Maximum measured line voltage has been increased
%100%95
%95%95
%95
Baseline
SGBaseline
V
VVVV
Positive value: 95% line voltage has been reduced
Negative value: 95% line voltage has increased
ERDF DEMO
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= evolution of the average voltage deviation between the baseline (without
flexibilities) and the Nice Grid solution (involving triggered flexibilities) = average deviation of the Nice Grid voltage (with flexibilities); = average deviation of the baseline voltage (without flexibilities).
Half-hourly measurements will be made during the following time period: 12:00 PM – 15:00
PM. Six instrumented electrical nodes are considered: { } { }.
Average voltage deviation from the set point with triggered flexibilities:
{ } { } = √∑
Average voltage deviation from the set point without triggered flexibilities:
{ } { } = √∑
Unit of measurement
% percentage basis
Expectations
ENEL – Full compliance with EN 50160 standard CEZ – At least in line with the EN 50160 standard ERDF – Reduction of voltage deviations
Reporting Period
ENEL - tbd CEZ – Four times a year (quarterly) ERDF – On a daily basis (when flexibilities are used)
Relevant Standards
EN 50160
Connection -
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/ Link with other relevant defined KPIs
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
Source of the data is not to be published
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO ENEL
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_4_ENEL 1 Install WALLY power quality monitoring device in most significant points of MV lines
tbd
GWP2.2_KPI_4_ENEL 2 Retrieve Vmax and V95% from WALLY power quality monitoring device
tbd
DEMO CEZ
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_4_CEZ 1 The installation of the measurement at selected points
ČDS
GWP2.2_KPI_4_CEZ 2 Continuous measurement according to EN 50160 standard
ČEZ Distribuce
GWP2.2_KPI_4_CEZ 3 The reporting four times a year ČEZ Distribuce
DEMO ERDF
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_4_ERDF 1
- Measurement of the voltage values at each considered electrical node i and for each time step t:
{ } { }
ERDF- EDF R&D
GWP2.2_KPI_4_ERDF 2
- Measurement of the voltage values at each considered electrical node i and for each time step t:
{ } { }
ERDF- EDF R&D
GWP2.2_KPI_4_ERDF 3 For each distribution feeder i, check
out. ERDF- EDF R&D
GWP2.2_KPI_4_ERDF 4 Deduction of ERDF- EDF R&D
KPI DATA COLLECTION
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DEMO ENEL
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Maximum Line voltage within
defined monitoring period
Vmax
Retrieval of data in conformance with CEI EN 50160 standard
Wally A – Network Analyzer monitoring power quality with certification in conformance with EN61000-4-30 Class A norms
Most critical points on MV lines.
tbd
100 days – still to
be defined
tbd
95% percentil
e of all measure
d line voltages
V95%
Retrieval of data in conformance with CEI EN 50160 standard
Wally A – Network Analyzer monitoring power quality with certification in conformance with EN61000-4-30 Class A norms
Most critical points on MV lines.
tbd
100 days – still to
be defined
tbd
DEMO CEZ
Data Data ID Methodology for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Value – U (voltage) Baseline
Requirements of EN 50160 standard
EN 50160 standard
ČEZ
Distribuce
Value – U (voltage) SG
Measurements
Quality measurement device according to EN 50160 standard
DAM (measured data storage device)
Continuously
Two weeks ČEZ Distribuce
DEMO ERDF
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Voltage
values
Voltage values
Installed multimeters
Installed multimeters
Six electrical nodes
Several times a month from
12:00 pm to 15:00
pm
ERDF- EDF R&D
Voltage values
KPI BASELINE DEMO ENEL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
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Details of Baseline
Using appropriate Power Quality instruments (i.e. Wally A) , the voltage profiles will be measured in a defined monitoring period. The two measures to monitor are Vmax, BASELINE and V95%, BASELINE. Vmax, BASELINE = The maximum reached line voltage during defined monitoring period (i.e. 100 days) before SG devices are installed on section of distribution grid where DEMO is performed. V95%, BASELINE = The 95% percentage voltage value during monitoring period (i.e. 100 days), the value for which 95% of all voltage line measurements fall below. This value will be taken before SG devices are installed on section of distribution grid where DEMO is performed. It is important to note that the baseline values will be taken once the appropriate works on the feeders/lines of the section of distribution network where DEMO is performed have been finished.
Responsible (Name, Company) for Baseline
tbd
DEMO CEZ
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
95% of the conducted measurements have to be within limit set up by the EN 50160 standard. The current measured value in the distribution system is 95% and it will be improved by the automation.
Responsible (Name, Company) for Baseline
DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Flexibilities in the Nice Grid pilot project won’t be triggered permanently. Since no electrical constraints are expected, we will be able to compare two consecutive days (or two days with similar weather conditions): one with Smart Grid solutions, the other without.
Responsible (Name, Company) for Baseline
GENERAL COMMENTS
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General Comment area to include any information that can be useful that has not been detailed above
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4.1.5 Islanding
BASIC KPI INFORMATION
KPI Name Voltage deviation during islanding KPI ID GWP2.2_KPI_5
Strategic Objective
Validation of the islanding success
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner CEZ – Milan Jelínek ERDF – Christophe Lebossé
KPI Description
CEZ: In case that the island operation is activated, CHP unit represents the sole electric power source. So with disconnection from the electric grid the network short-circuit of the MV decreases. The short-circuit output power and short-circuit parametres are given by the character of CHP unit. The operation of the island should guarantee quality of power supply for customers – which means that voltage violation should follow standards given by EN 50160. In this way this KPI measures the number of magnitude line voltage violations and/or the time for which the voltage goes out of the + 10%/-15% voltage limits, as defined in EN 50160 standard. Distribution of voltage line measurements, violations occur at + 10%/-15% of Voltage reference:
Time measurement of voltage line violations:
Vlim,max
(+10%)
Vlim,min (-
15%)
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ERDF:
Islanding a few consumers based on photovoltaic power production and Li-ion batteries is a technical challenge. The success of this operation relies on the dedicated management of the upstream grid and downstream electric networks. Therefore the key aspect of the demonstration project will be ensuring that islanding operations are perfectly controlled during the targeted time period: islanding will be stopped in the case of network divergence.
The operation of the island should guarantee quality of power supply for customers, which means that voltage violation should follow standards given by EN 50160. We do not expect much standard violations in the islanded area. Therefore we opted for a Key Performance Indicator that assesses the voltage deviation in islanding mode: voltage measurements will be made at the distribution transformer level over the overall islanding period (four hours, with an half-hourly time step: t, 9 measures). The voltage set point of the distribution transformer is considered to be 230V.
KPI Formula
√∑
= voltage deviation during islanding
= measurement of the voltage for each time step t = distribution transformer set point
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For the Nice Grid demo, the set point
Unit of measurement
% percentage basis
Expectation
CEZ – The improvement of the nominal voltage range to more than 95%, i.e. 95% of samples fulfill ± 10% voltage limits as defined in EN 50160 standard
ERDF -
Reporting Period
CEZ – For each islanding test. ERDF - For each islanding test.
Relevant Standards
EN 50160
Connection / Link with other relevant defined KPIs
GWP2.2_KPI_4
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
Source of the data is not to be published
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO CEZ
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_5_CEZ 1 Measurement of the voltage at the distribution transformer level for each time step t during the islanding
CEZ Distribuce
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period: Vt GWP2.2_KPI_5_CEZ 2 Determination of the VDI CEZ Distribuce
DEMO ERDF
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_5_ERDF 1
Voltage measurement at the distribution transformer for each time step t during the islanding
period:
ERDF – EDF R&D
GWP2.2_KPI_5_ERDF 2 Determination of ERDF – EDF R&D
KPI DATA COLLECTION DEMO CEZ
Data Data
ID
Methodology for data
collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Value – U (voltage)
Baseline
230V none none none none ČEZ Distribuce
Value – U (voltage) SG Measurement
Quality measurement
device
DAM (measur
e data storage device)
Four hours, with a half-
hourly time step:
t, 9 measures
Four hours ČEZ Distribuce
DEMO ERDF
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
Voltage
values
Voltage values
Instrumented distribution transformer
Instrumented distribution transformer
Islanding distribution transformer
Each islanding
- ERDF- EDF R&D
KPI BASELINE DEMO CEZ
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline voltage is chosen to be 230V
Responsible (Name, Company) for Baseline
Milan Jelínek (Smart Region project manager), ČEZ Distribuce
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DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Responsible (Name, Company) for Baseline
GENERAL COMMENTS
General Comment area to include any information that can be useful that has not been detailed above
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4.1.6 Use of standards
BASIC KPI INFORMATION
KPI Name Effective use of standards with respect to declared use KPI ID GWP2.2_KPI_8
Strategic Objective
Verification if different DEMOs have actually applied the standards they have declared. In the case that this has not been the case, the KPI can help point out reasons why these have not been used.
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
RWE – IBERDROLA - ENEL – Enel Manager ERDF – Christophe Lebossé
KPI Description
All the DEMOs in the GRID4EU project have declared that they will apply different relevant standards. This is further specified in [gD4.1]. This particular KPI will indicate if the DEMOs have actually applied the KPI they initially declared their intention of using, and in the case that this is not so will provide important information on why this has not been the case. Regarding declared standards that will be used in the different DEMOs and as described in [gD4.1], the table below summarizes this list:
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KPI Formula
As defined in [gD4.1] the number of standards declared to be used per DEMO is found below:
Standards
DE
MO
1
DE
MO
2
DE
MO
3
DE
MO
4
DE
MO
5
DE
MO
6
Communication technologies
Wire
d
RS485 (twisted pair) X
Ethernet (IEEE 802.3) X X
PLC X X X X
Wire
less
Zigbee (IEEE 802.15.4) X
GPRS X X
WiMAX (IEEE 802.16) X X
LTE X
Communication protocols
H
igh
OS
I la
yers
L
ow
IEC 61334 S-FSK (PLC) X
Meters & More (PLC) X
LonWorks PLC (ISO/IEC 14908-3) X
PRIME (PLC) X
IEC 60870-5-104 X X X X
IEC 61850 X X
Modbus X X
OMA-DM/OMA-DS X
TCP/IP X
XMPP X
WS-* X X X
Information models
CIM (IEC 61968, 61970 & 62325) X X X X X
DLMS/COSEM (IEC 62056) X X
IEC 61850-7 X X
Modbus (function codes & data types) X X
LonWorks (ISO/IEC 14908) X
PRIME X
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DEMO # of standards declared
to be used RWE 0
VATTENFALL 7 IBERDROLA 8
ENEL 10 CEZ 8
ERDF 11 This KPI will apply per DEMO, and therefore there will exist 6 different values. It is conceivable that an aggregated result could also be obtained. With regards to the parameter “# of standards effectively used”, it is recognized that this definition is quite broad. In essence, for each of the standards that the DEMO has declared to use, each DEMO will have to accurately answer at the end of the project the following question: “has the specific standard been used/applied as was originally stated?”.
Unit of measurement
-
Expectation
Given that it is expected that DEMOs will apply/make use of the standards they have stated, the expectation is that this KPI give a 100% value for all DEMOs. RWE – IBERDROLA - 100% ENEL -100% ERDF – 100%
Reporting Period
At the end of the project
Relevant Standards
As described in [3], the Smart Grid Architecture is divided into two main categories;
- Communication Architecture, i.e. “how” the information is exchanged
- Information Architecture, i.e. “what” is the information exchanged
In this light, the relevant standards for this KPI are also subidivided into these two main themes.
Communication Technologies
- RS-485
- Ethernet (IEEE 802.3)
- PLC
- Zigbee (IEEE 802.15.4)
- GPRS
- WiMAX (IEEE 802.16)
- LTE Communication Protocols
- IEC 61334 S-FSK (PLC)
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- Meters and More (PLC)
- PRIME (PLC)
- LonWorks PLC (ISO/IEC 14908-3)
- IEC 60870-5-104
- IEC 61850
- Modbus
- OMA-DM/OMA-DS
- XMPP
- WS-* (Web Services)
Information Models
- CIM (IEC 61968, 61970 & 62325)
- DLMS/COSEM (IEC 62056)
- IEC 61850-7
- Modbus
- LonWorks (ISO/IEC 14908)
- Ethernet (IEEE 802.3)
- PRIME
Connection / Link with other relevant defined KPIs
-
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
Source of the data is not to be published
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO (RWE, IBERDROLA, ENEL, ERDF)
KPI Step Methodology ID
[KPI ID #] Step Responsible
- Define number of standards to be used in DEMO (already done in [gD4.1])
Leader of each particular DEMO
- Analyze number of standards effectively used and applied in the DEMO
Leader of each particular DEMO
KPI DATA COLLECTION DEMO (RWE, IBERDROLA, ENEL, ERDF)
Data Data
ID
Methodology for data
collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
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N.A.
N.A. N.A. N.A.
N.A.
N.A. N.A. N.A.
KPI BASELINE A baseline for this KPI is not applicable
GENERAL COMMENTS
In the case that a particular standard has not been used by a DEMO, it would be relevant to indicate the reason for not using the standard, as this can provide a valuable learning point moving forward.
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4.2 Social KPIs
4.2.1 Recruitment
BASIC KPI INFORMATION
KPI Name Fraction of consumers and producers accepting participation in the different demos
KPI ID GWP2.2_KPI_6
Strategic Objective
Assessing the involvement of consumers in Smart Grid challenges and pilot projects
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
IBERDROLA - Ruth Moya Turbica ENEL – Enel Manager (tbd) ERDF – Christophe Lebossé
KPI Description
The Smart Grid must be built on a design for a fully inter-connected system that allows customers to more actively participate in decisions about their own energy use. This Key Performance Indicator investigates whether consumers are prone to be involved in smart grid pilot projects.
KPI Formula
= fraction of producers/consumers who agree to be part of the demo;
= number of producers/consumers involved in the demo (for instance
hosting equipments);
= number of producers/consumers contacted to be part of the demo.
Unit of measurement
% percentage basis
Expectations
IBERDROLA - ENEL – Over 50% ERDF -
Reporting Period
At the end of the recruitment period
Connection / Link with other relevant defined KPIs
-
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
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Source of the data is not to be published
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO IBERDROLA
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_6_IBERDROLA 1
To elaborate a list of customers that could participate in demo. IBERDROLA
GWP2.2_KPI_6_IBERDROLA 2
Request participation of customer in demo. IBERDROLA
GWP2.2_KPI_6_IBERDROLA 3 Perform statistical analysis. IBERDROLA
DEMO ENEL KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_6_ENEL 1 Elaborate complete list of DER generators that could participate in voltage regulation in demo
ENEL, (person responsible)
GWP2.2_KPI_6_ENEL 2 Request participation of each DER generator in voltage regulation.
ENEL, (person responsible)
GWP2.2_KPI_6_ENEL 3 Perform statistical analysis both in absolute and in power terms
ENEL, (person responsible)
DEMO ERDF
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_6_ERDF 1
At the far end on the recruitment stage, determination of the number of consumers involved in the demo:
EDF SA - ERDF
GWP2.2_KPI_6_ERDF 2
At the far end on the recruitment stage, determination of the number of consumers contacted to be part
of the demo:
EDF SA - ERDF
GWP2.2_KPI_6_ERDF 3 Determination of EDF SA - ERDF
KPI DATA COLLECTION DEMO IBERDROLA
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring period
Data collection
responsible
Number of
customers that
accepted participat
es in demo.
Telephone survey N/A N/A N/A N/A IBERDROLA
Number of
Telephone survey N/A N/A N/A N/A IBERDROLA
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customers that had
been enquired
to participate in demo.
DEMO ENEL
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
- - - - - - - - DEMO ERDF
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
- - - - - - - -
KPI BASELINE DEMO IBERDROLA
Source of Baseline
Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline values not applicable to this KPI.
Responsible (Name,
Company) for Baseline
-
DEMO ENEL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline values not applicable to this KPI.
Responsible (Name, Company) for Baseline
-
DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline values not applicable to this KPI.
Responsible (Name, Company) for Baseline
-
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GENERAL COMMENTS
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4.2.2 Active Participation
BASIC KPI INFORMATION
KPI Name Fraction of consumers/producers actively taking part in the different demos
KPI ID GWP2.2_KPI_7
Strategic Objective
Assessing the involvement of consumers in Smart Grid challenges and pilot projects
DEMO where KPI applies
RWE
VATTENFALL
IBERDROLA
ENEL
ČEZ Distribuce
ERDF
Owner
IBERDROLA - Ruth Moya Turbica ENEL – Enel Manager (tbd) ERDF – Christophe Lebossé
KPI Description
The Smart Grid must be built on a design for a fully inter-connected system that allows customers to more actively participate in decisions about their own energy use. This Key Performance Indicator investigates whether consumers are prone to be involved in smart grid pilot projects.
KPI Formula
Where:
- = the ratio of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO)..
- = the number of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO).
- , = the number of customers/producers that accepted participating in demo.
ERDF: The Key Performance Indicator is investigating whether customers will respond to dynamic request by lowering or time-shifting their energy usage.
= fraction of validated demand response schemes (load shedding/shifting
requests);
= number of consumers refusing or opting out of a demand response event
(load shedding/shifting requests);
= total number of day-ahead or infraday load shedding/shifting requests.
Unit of measurement
% percentage basis
ExpectationIBERDROLA – 70%
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s ENEL – tbd ERDF –
Reporting Period
At the end of the recruitment period
Connection / Link with other relevant defined KPIs
-
Reporting Audience and Access Rights
PUBLIC
GRID4EU PARTNERS
DEMO PARTNERS
OTHER (please specify)
Source of the data is not to be published
OTHER (please specify)
KPI CALCULATION METHODOLOGY DEMO IBERDROLA
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_7_IBERDROLA 1
Elaborate list of customer that participate in demo. IBERDROLA
GWP2.2_KPI_7_IBERDROLA 2
Save information before installation of “in-home display”. IBERDROLA
GWP2.2_KPI_7_IBERDROLA 3
Save information after installation of “in-home display”. IBERDROLA
GWP2.2_KPI_7_IBERDROLA 4
Perform statistical analysis. IBERDROLA
DEMO ENEL KPI Step
Methodology ID [KPI ID #]
Step Responsible
GWP2.2_KPI_7_ENEL 1 Elaborate the list of participants in the demo project
ENEL
GWP2.2_KPI_7_ENEL 2
Find the number of producers that have accepted participating that decide to drop out of DEMO activities
ENEL
DEMO ERDF
KPI Step Methodology ID
[KPI ID #] Step Responsible
GWP2.2_KPI_7_ERDF 1
Determination with the involved aggregators of the number of day-ahead and infraday demand response events (load
shedding/shifting requests):
ERDF – EDF R&D
GWP2.2_KPI_7_ERDF 2 Determination with the involved aggregators of the number of
ERDF – EDF R&D
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prosumers refusing of opting out of
a demand response event: GWP2.2_KPI_7_ERDF 3 Determination of ERDF – EDF R&D
KPI DATA COLLECTION DEMO IBERDROLA
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring period
Data collection
responsible
Number of customers
that accepted participat
es in demo.
Telephonic survey N/A N/A N/A N/A IBERDROLA
Reduction of
consumed energy
Taken form control system. Smart Meters DCS Daily 6 months IBERDROLA
DEMO ENEL
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
- - - - - - - - DEMO ERDF
Data Data ID Methodology
for data collection
Source/Tools/Instruments for Data
collection
Location of Data
collection
Frequency of data
collection
Minimum monitoring
period
Data collection
responsible
- - - - - - - -
KPI BASELINE DEMO IBERDROLA
Source of Baseline
Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
The values of energy are calculated by the smart meters and are stored in a centralized control system where can be read and used for statistical analysis.
Responsible (Name,
Company) for Baseline
-
DEMO ENEL
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline values not applicable to this KPI.
Responsible (Name, Company) for Baseline
-
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DEMO ERDF
Source of Baseline Condition
LITERATURE VALUES
COMPANY HISTORICAL VALUES
VALUES MEASURED AT START OF PROJECT
Details of Baseline
Baseline values not applicable to this KPI.
Responsible (Name, Company) for Baseline
-
GENERAL COMMENTS
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5 References
5.1 Project Documents
List of reference document produced in the project or part of the grant agreement
[[DOW] – Description of Work
[GA] – Grant Agreement
[CA] – Consortium Agreement
[dD1.1] Specification and requirements – Procedures for KPIs validation and measurement (DEMO RWE)
[dD2.1] Detailed project specification and development of demonstration activities – Procedures for KPIs
validation and measurement (DEMO Vattenfall)
[dD3.1] Iberdrola Demonstration: targets and solutions overview – Risk management. KPI validation and
measurements (DEMO Iberdrola)
[dD4.1] Documentation for technical coordination – Procedures for KPIs validation and measurement
(DEMO Enel)
[dD5.1] Detailed demonstration planning – Procedures for KPIs validation and measurement (DEMO
CEZ)
[dD6.1] Initiation of the demonstration – Procedures for KPIs validation and measurement (DEMO ERDF)
[gD4.1] Guidelines for standards implementation in the six demonstrations
[gD2.1] General Functional Requirements and specifications of joint activities in the Demonstrators
5.2 External documents
[1] Standard EN 50160 – Voltage Characteristics in Public Distribution Systems [2] CEI EN 61000-4-30 - Testing and measurement techniques – Power quality measurement methods [3] Smart Grids Coordination Group Technical Report – Reference Architecture for the Smart Grid –
Version 1.0 – 2012-03-02.