future flexible distribution system · 2015-12-04 · ideal grid for all slide 2 04/12/2015 agenda...

ideal grid for all

Future flexibledistribution systemSeminar in Tampere4th of December 2015

Sami Repo (TUT)Ignasi Cairo (IREC)

Zaid Al-Jassim (Dansk Energi)Davide Della Giustina (A2A)

Alessio Dede (A2A)Luigi Vanfretti (KTH)

Andrea Angioni (RWTH)Maite Hormigo (GNF)

Mathias Christoffersen (Dansk Energi)

ideal grid for all 04/12/2015SLIDE 2

Agenda• 09.15 – 09.35 – IDE4L project and ANM concept / Sami• 09.35 – 09.55 – IDE4L aggregator concept / Ignasi• 09.55 – 10.55 – IDE4L developed functionalities

• Congestion management / Zaid• Fault Location Isolation Supply Restoration / Alessio• Aggregator scheduling and optimization / Ignasi• PMU monitoring / Luigi

• 10.55 – 11.15 – IDE4L distributed automation system / Andrea• 11.15 – 12.30 – Lunch Break & Poster session• 12.30 – 13.00 – IDE4L Demonstrations / Davide, Maite, Mathias, Andrea• 13.00 – 13.45 – Demand response – Practical applications and network

impacts in Finland / Pertti Järventausta, TUT• 13.45 – 14.15 – Coffee & Poster session continues• 14.15 – 14.45 – Flexibility operator at Nordic demand response markets

/ Jan Segerstam, Empower IM• 14.45 – 15.00 – Conclusions• Visit to RTDS lab demonstration

WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015


• IDE4L project overview and ANM concept

• Aggregator concept

• Developed functionalities

• Distributed automation system

• Demonstrations

• Conclusions


ideal grid for all

From concept to demonstrations1. Defining the concepts

• Active network (D2.1)• Automation for active network management (D3.1)• Aggregator system (D6.1)

2. Developing planning methods and automationfunctionality

3. Building and running the demonstrations in:• Denmark (Østkraft Holding A/S)• Italy (A2A Reti Electtriche SpA)• Spain (Unión Fenosa Distribución, S.A.)

SLIDE 4 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 201504/12/2015

ideal grid for all

Expected outcomes (1/2)• Planning tools to design active distribution network

and to evaluate costs and benefits of developedconcept and technical solutions.

• Advanced automation system to extend monitoringand control functions deep in the distribution network.

• Increment of network hosting capacity for DG• Management of fast changing conditions and integration of

large number of DG and DR• Use of standards, like IEC 61850, for reusability and general

applicability to other EU scenarios• Aggregation of information from small-scale DERs and

flexibility services for distribution network management

04/12/2015SLIDE 5 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

Expected outcomes (2/2)• The same automation infrastructure to be utilized to

enhance the distribution network reliability• Automatic fault location, isolation and supply restoration

algorithm will be developed and demonstrated to improvethe reliability of distribution network.

• Design of a universal controller to enable flexible operationsof microgrids, smoothly transitioning from grid-supportingmode, grid-connected mode and islanded mode, whileguaranteeing quality of service.


ideal grid for all

Breakthroughs

04/12/2015SLIDE 7

WP2Planning toolsfor distribution

networkmanagement

ANM concept

Target andexpansion

planning includingANM

Operationalplanning includingDER uncertainty

WP3Distribution

networkautomationarchitecture

Automationconcept

Smart meter as asensor

Testing Platformfor monitoring &control systems

Hierarchical anddecentralizedautomation

WP4Fault location,isolation and

supplyrestoration

DecentralizedFLISR

IEC 61850Distribution

Protection SystemReconfiguration

Microgridinterconnection

switch

WP5Congestion

management

Decentralized stateestimation andstate forecast

Tertiary control –Network

reconfiguration

Secondary control– Coordination ofvoltage controllers

Dynamic tariff

WP6Distribution

networksdynamics

Aggregatorconcept

Optimal schedulingof flexibility

Transmittingsynchro-phasors &

real-time modelsyntheses

Improvedmicrogridoperation

WP7 Demonstrations


ideal grid for all

MicrogridsEnergy communities

Vision of future smart grid

System managementand design

Advancedmonitoring

Market design

Aggregator

Smart charging of EV Smart homes and PV

Storage

Controllable loadsand energy efficiency

Power togas

BalancingDistributionautomation

Renewable energy resources

Grid infrastructure

ideal grid for all

Policies of electricity network

• Today networks are always over-dimensioned due toquality of supply obligations and missing possibility tocontrol DERs

• Some companies are already forced to utilize productioncurtailment to manage their networks

• In future more flexibility is needed to integrate more RESand DERs in power system

• Controllability of distribution network via advanced ICT• Decentralization of network management due to scale of the

system


ideal grid for all

IDE4L automation architecture


ideal grid for all

Roles of grid operatorsand aggregator

1. DSO/TSO• Validates the submitted offers:

• Off-line validation• Real-Time validation

• Purchases flexibility services for avoiding network constraints• Calculates and provides the Flexibility Table (Limits for each Load Area)

2. Aggregator• Forecasting of consumption, production, price, etc.• Flexibility estimation of customers

Determination of market bids• Commercial optimal planning

Maximization of aggregator profit


ideal grid for all

Monitoring, protection andcontrol system• Complete network will be monitored and controlled

• Intelligent Electronic Devices (IEDs)• Coordination and merging of information and decisions at substations

• DA applies variety of communication technologies• Primary substations - SCADA and possibly other IT systems (fibre optics,

wireless)• Secondary substations and MV switching stations (wireless)• Smart meters (PLC or wireless)

• Ethernet is becoming the prevalent communication standardfor all automation devices

• IEC 61850 GOOSE and MMS• DLMS/COSEM• IEC 60870-5-104• Modbus/TCP over LAN/WAN


ideal grid for all

Control of DERs from DSO’s viewpoint• Regulation

• Connection requirementsà technical capabilities for the control of DERs• Dynamic tariffs to incentivize load shifting

• Retailà off-peak day-ahead prices• Gridà off-peak network load

• Direct control• DSO’s own resources (OLTC, Reactive power compensation and FACTS)• Contracted non-market based control, e.g. voltage control of DG units• Emergency control to act just before protection

• Flexibility services from Commercial Aggregator• Scheduled re-profiling of flexible DERs• Conditional re-profiling of flexible DERs


ideal grid for all

Active network planning

• Active network becomes alternative for networkreinforcement

• Postponing investments of physical infrastructure by ANM• Replacing network reinforcement with smart functionalities

• Traditionally worst case design principle• Firm connection capacity always available for all customers• DG impactàmaximum production – minimum loading condition• Leads to over-dimensioning of network and the evaluation of smart

functionalities is limited to peak conditions• Stochastic planning of active network

• Non-firm connection (based on dedicated contract) increase networkhosting capacity remarkably

• Enable full utilization of ANM


ideal grid for all

0

50000

100000

150000

200000

250000

300000

350000

400000

Cosφ = 1.0 Cosφ = 0.92ind Vref = 1.02 CVC

Cost of losses + Use of grid fee - Distribution charge of DGLost revenue due to curtailment

DG lost income

DNO costs

Benefits of coordinated voltagecontrol in MV network

04/12/2015SLIDE 15

No control Primary control Secondary control


Euro

s






• Demonstrations

• Conclusions


ideal grid for all

FLEXIBILITYSERVICES

FLEXIBILITYSERVICES

PROSUMERS

Aggregation concept: keyenabler of “FLEXIBILITY”

FLEXIBILITYSERVICES

FLEXIBILITYSERVICES


ideal grid for all

State of the art - markets04/12/2015SLIDE 18

• The growing share of variablegeneration in Europe is increasingthe need for flexibility in theelectricity system.

• In this context, aggregation offersthe opportunity to exploit theflexibility potential of smallercustomers connected todistribution networks.

• Energy Efficiency Directive2012/27/EU – Legal basis fordevelopment


ideal grid for all


Some European demand response programs…


ideal grid for all


Some demand response providers…• Energy Pool (1,2GW capacity):



Flexibility productsTwo types of standardized Flexibility Products

AD Product Conditionality ExampleScheduled re-profiling (SRP)

Unconditional(obligation)

The aggregator has the obligation toprovide flexibility services

Conditional re-profiling (CRP)

Conditional(real option)

The aggregator must have the capacityto provide flexibility services


ideal grid for all

Aggregator: target markets• Three possible market uses for the

aggregator’s flexibility:

04/12/2015SLIDE 22

Procurement of balancing services (capacity) and activation ofbalancing energy by the TSO to balance demand and supplythrough the balancing energy market.

Network constraints resolution in all timescales, maintainingreliability and quality of service at TSO and DSO levels.Typical constraints refer to thermal ratings, voltageviolations, fault levels and transient stability issues.

1. Balancing markets

2. Constraints managementat transmission anddistribution level

Long term(grid planning andforward markets)

Day aheadenergy/capacity

markets

Intra-dayenergy/capacity

markets

Realtime

Used by market players to meet their energyobligations in the market at minimum costs byarbitrating between generation and demandresponse on all different time horizons.

3. Portfolio optimization


ideal grid for all

While ensuring furthercoordination between TSOs & DSOs

04/12/2015SLIDE 23

• Activation of flexibility resources connected to distributionnetworks by the TSO for the purpose of system balancing ortransmission constraints management may lead toconstraints in distribution networks

• Similarly, DSO constraint management will also affect theTSO grid and balancing of the system and the other way around

• Regarding energy markets, the program should be validated notonly for TSOs but also for DSOs.

• A robust and efficient IT framework is required to ensure thenecessary information exchange among commercialaggregators, DSOs, and TSOs.



Aggregator concept• Within IDE4L project an aggregator concept is being

developed trying to ensure a robust, transparent andequitable market functioning.

• IDE4L aggregator concept consists of two new agents,evolving from their classical roles to include newfunctionalities

RetailerOffering a new service to customers

Commercial Aggregator

DSOInclude a set of new functionalitiesProcurement / Validation



Commercial Aggregator keyfunctions Consumer Segmentation

• Divides the consumers togroups with similar behavior in

terms of consumption.• The groups are called clusters

1

Consumption and flexibilityforecasting

Estimates the consumers’behaviour/flexibility

2

4

Market price forecastClassical methods. Historical data

3

5



Commercial Aggregator keyfunctions1) Consumer Segmentation

i. Divides the consumers to groups with similar behavior in terms of consumption.ii. The groups are called clusters

2) Consumption and flexibility forecastingi. Estimates the consumers’ behaviour/flexibility upon different price/volume

incentive signals

3) Market forecasting4) Operational planning/optimization

i. Maximizes aggregator profitii. Determines the market bidsiii. Determines the incentive policy and the price signals

5) Send price/volume signals to prosumersi. Price signals (€/kWh) for Schedule Re-profiling Products (SRPs)ii. Volume signals (kW) Conditional Re-Profiling Products (CRPs)







• Demonstrations

• Conclusions


ideal grid for all

Congestion management

04/12/2015 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015SLIDE 28

ideal grid for all

IDE4L Solutions• Active network instead of a passive network

• Decentralized• Automated• Hierarchical

• Postponing the costly traditional solutions

• Using the full capacity of distribution networks• Monitoring the state of the network• Automatic decentralized solutions to solve congestions• Better use of distributed energy resources – e.g. through market place

Developed algorithms• State Estimation• Forecasting + State Forecasting• Secondary Power Control• Tertiary Control

• Network Reconfiguration• Market Agent• Dynamic Tariff



SE

PC

SF

DB

PF

LF

FC

SSAU

Aggregator


DB: Data baseNRA: Network ReconfigurationMA: Market AgentFC: ForecasterSF: State ForecasterLF: Load ForecasterPF: Production ForecasterSSAU: Secondary Sub-station Automation unitPSAU: Primary Sub-station Automation unitDMS: Distributed Management SystemTC: Tertiary Controller


SSAU

Aggregator

SE

PC

SF

DB

PF

LF

FCPSAU




SSAU

Aggregator

PSAU

DMS(TC)

NRA

MA

SF

DB

PF

LF

FC

Coordination

Market



ideal grid for all

NRAincluding PC

DT

SeveralPrimary

substations(MVPC)

Com. Aggregator Assets

ControlSignals

Market Agent

Com.Agg. 1

Com.Agg. 2

Com.Agg. 3

Com.Agg. 4

Com.Agg. k

Market Operator

SeveralSecondarysubstations

(LVPC) FLISR

Tertiary ControlTSOs

Biddingprocess

FlexibilityActivation

signal

Biddingprocess

OtherMarket

participants

CRP activation

ZAL21

ZAL22

ZAL23

ZAL21 I would rather call it a market place. A market operator will need a market to operate, thus another box would might be needed.Zaid Al-Jassim; 8.1.2015

ZAL22 1. The C- aggregator and T- aggregator will still need the external inputs such as weather data and so on. why its not included?

2. The T-aggregator will still need the DER schedule. Why its not included?Zaid Al-Jassim; 8.1.2015

ZAL23 I would rather call it DER because its only DER that we are controlling here. Flexibility is a little bit wider concept.Zaid Al-Jassim; 8.1.2015

ideal grid for all 30/06/2015

Real-Time Operation in the A2A Network: FLISR signal +high demand

Tertiary Control:Network Reconfiguration Algorithm (NRA)

• After a fault at F9 (highdemand) NRA restoresthe isolated loadappearing an overloadingin some branches of thenew topology.

• After a fault at the rest ofsections (F1…F14) NRArestores the isolatedwithout congestion.



§ After Faults at F9 (high demand) NRA restores the isolated load, but line E23L01-SS545 remains congested in a 108% (new topology).

§ The market agent makes use of the available CRPs already contracted (shown inthe table).

Real-Time Operation in the A2A Network: high demand + fault at F9

NodeQuantity(↓ demand)

[kW]

Activation Price[€/MWh]

297 150 701006 150 701056 110 751512 150 70

§ Solution found:- Flexible loads at nodes 297 and

1006 should decrease in 150kW.

- Aggregated LV load at node1056 should decrease in 106kW.

- Cost of the activated flexibility:28.95 €/h (per activation).

Tertiary Control: Market Agent Algorithm


ideal grid for all 30/06/2015

Real-Time Operation in the A2A Network: FLISR signal +high demand

Tertiary Control Output


ideal grid for all

-40000

-30000

-20000

-10000

0

10000

20000

Active Power in Congested Network

1a. BAU – Net Load 2b. Congestion – Net Load 2b. Congestion – Curtailed DG

Time [hours]

Activ

ePo

wer

[W]

Feeder capacity limit

The Low Voltage Power Controller is effectivein curtailing active from PV units…

SLIDE 37 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

The LVPC is also effective at minimizingreactive power flows:

-3000

-2000

-1000

0

1000

2000

3000

4000

5000

Reactive Power Flow at Grid Connection

1a.BAU 1b.50%-DER 1c.100%-DER

Time [hours]

Rea

ctiv

ePo

wer

[VAR

]

SLIDE 38 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

Dynamic Tariff (DT)• Dynamic tariff is changeable at different time and different

node, implemented by the following procedure:• Step 1: DSO collects information for day-ahead energy planning

• Step 2: DSO calculate and publish DT before closure of spot market

• Step 3: DR at the commercial aggregator side - Aggregator make energyplan based on DT and energy price

• Step 4: Commercial aggregator submit energy bids to spot market

Time frame of the DT method


ideal grid for all

Concept of DT Method forCongestion Management

Main features:• Decentralized control framework• The DSO has the chance to maximize the social welfare• It can be easily integrated into the existing market

3. Energy requirement

forecast

Information flowof the DT methodfor congestionmanagement

Info. with high reliabilityInfo. with low reliability

Power flow


ideal grid for all

How breakthroughs will be achieved

• Development of algorithms• Test of algorithms as individuals as well as one whole

system• Analysis of functionality and performance• Promoting economical values for DSO• Integration to the other pieces of the developed concept• Promoting an IDE4L concept


ideal grid for all

Feeder automation based onIEC61850


ideal grid for all

Feeder Automation based onIEC61850• Design of a decentralized solution based on

the coordination among different IEDsdistributed along MV lines and the use ofIEC 61850 GOOSE communication servicesto accelerate the decision taken



Background• 28% of the malfunctions of protection functions are

already caused by wrong configurations accordingto the North America Electric Reliability Corporationlast report

• Changes in topology for fault restoration andcongestion management

• Impact of high rate of DG connection on protectionsystems operation: Blinding effect, unnecesaryoperations, Failing autoreclosing, unintendedislanding…


ideal grid for all

Inflection point• Application of IEC 61850 standard for feeder

automation• Current trend of replacing switches by

breakers along distribution feeders• Frequent changes in network configurations to

fulfil optimization functions• Protection system reliable operations in

networks with DER and DG connection



IEC 61850 Protection FunctionParameters Update

• ObjectiveProcess to change remotely functional parameters and datasubscriptions in peer to peer communications withoutinterrupting operation

• Schema• Protection, monitoring and control functions modelled

with standardized Logical Nodes• Embedded Logic at IED level for dynamic reconfiguration• Use of MMS messages to update:

• LN setting values• GOOSE ID subscriptions



Decentralized IEC 61850 FLISRSolution

Included Use Cases• FLISR using auto re-closers• FLISR based on distributed

control• Islanding protection using

communication command• Configuration of IEDs

Station

Control centerSCADA

IEC

6185

0IEC 61850-80-1

Guideline to exchange61850 information over IEC

60870-5-101/104

IEC 61850-90-1between stations

IEC 61850IEC 61850

IED IED CTs/VTs

RTULocal

SCADA

Power Utility substations AIEC 61850-7-4

IEC 61850-90-6MV network

Use of 61850for substation

tocontrol center

(expected)

Power Utility substation B

IEC 61850 parts, as of 2013XXX

XXX IEC 61850 future parts(already engaged) IEC 61850-90-15*: use of IEC 61850 over WAN can/will take advantage of

IEC 61850-80-1, IEC 61850-90-2 and IEC 61850-8-2 (web based) , and IEC 61850-90-12 (WAN)



• ObjectiveDecentralized FLISR Schema based on IEC61850 GOOSEmessages that contemplates different interruption technologiesat distribution level, islanding mode protection and new IEC61850 guidelines

• Schema• Decentralized logic selectivity using GOOSE messages

• 1st Isolation Step – Performed by IEDs controlling circuit breakers.• 2nd Isolation Step – Performed by IEDs controlling switches.

• Loss of Mains Protection by means of IEC 61850 messagescontrolled by MV IEDs

• MMS messages to report status and interact with SAUalgorithms

Decentralized IEC 61850 FLISR SolutionWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

Decentralized IEC 61850 FLISRSolution

04/12/2015SLIDE 49

PSAUIED1

SS1

IED2 IED3

SS2

IED2 IED3

SS3

IED4 IED5

IED12

SS6

IED11 IED10

SS5

IED9 IED8

SS4

IED7 IED6

MGCC

Microgrid

Block Messages

MG

and

DG

Blo

ckC

losi

ng

MG and DG Block Opening

Breaker Status

FPI Block Messages

SW Status

IED5IED3IED1

Reclose Cycle Sucessfully Finished

IED7 IED6

FPI Block Messages

DG and MG Block Closing

DG and MG Unblock Closing



Islanding ofmicrogrids

Distribution grid

Microgrid

Microgrid

DG

Background Microgrids may operateeither connected to thedistribution grid or as astandalone powersystem.

Interaction with thedistribution systemmust be taken intoaccount.

The breakthrough is theproposal of a protectiondevice that coordinateswith distribution gridbased on ICT



Islanding of microgridsFeatures ofInterconnectionSwitch

Coordination with MV FLISR protection system.

The microgrid protection system uses IEC 61850.

Communication-Failsafe autonomous operation of the interconnection switch.

Automatic reclosing upon distribution grid restoration.


ideal grid for all

Breakthroughs Expected Results

• Reducing the number of customers affected bythe supply interruption

• Reducing restoration times

• Improve reliability and safety of protectionsystems


ideal grid for all

Optimal scheduling in futuresmart grids



General CA concept and its interactionsWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015


Day-ahead CA algorithm interactionWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015


Real-time CA algorithm interactionWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all 57 04/12/2015SLIDE 57

Commercial Aggregator functionalities

Prosumers portfolio

1 Consumption Forecasting

• Historical data• Weather forecast

Divides the consumersto groups with similarconsumption patterns

4 Market forecasting

• Base Load Profile• Modified Load Profile per request• Optimal Incentive Policy per request• Market price• Reliability of the clusters

2 Consumer Segmentation

Average consumer per cluster

3 Flexibility Forecast Tool

Simulates the behaviour of everyaverage consumer under differentprice and volume signals.

Obtains the aggregated response forthe whole clusters.

Forecast the marketprice of sold andpurchased electricity.

€

Methodologies rely on statistical andfinancial analyses of the markets.

Calculates the optimal incentiveand bidding policy in order tomaximize the profits of theCommercial Aggregator.

5 The CommercialOptimal Planning Tool

Participates in the markets


ideal grid for all 58 04/12/2015SLIDE 58

CA Algorithms – some resultsScenario characteristics

Kind of area Urban

Number of nodes 40

Number of subestation 1

Area size

Penetration rate of Value

Domestic Users 100%

Solar Generation 20%

Wind Generation 5%

Electric Vehicles 15%

Flexible load profiles 70%

Cluster Startingtime

StoppingTime

PriceIncentives

Levels ofConsumption

2.1 10 21 0,17 1,2075

Example of applied Incentive Requests


ideal grid for all

Interfacing TSOs and DSOs viaPMU-based information exchange


ideal grid for all

Data Flow

WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 201504/12/2015SLIDE 60

ideal grid for all

IEC 61850-90-5 Gateway

for

IEEE C37.118.2 Synchrophasor DataTransfer


ideal grid for all 62

Seyed Reza Firouzi [email protected]

• Theory:• IEEE C37.118 à Synchrophasor data transfer by exchange of 4 types of messages:

1. Data, 2. Configuration, 3. Header and 4. Command Frames

• IEC 61850-90-5 à PMU data (Based on C37.118) mapped to IEC 61850 Data Modelà Communication mechanism: Routed-Sampled Value and Routed-GOOSEàMulticast UDP/IP

(1) IEEE C37.118 PMU Dataà (2) IEC 61850 Data Model & Datasetà (3) IEC 61850 Routed-Sampled Value / GOOSE Publisher and (4) Subscriber

LPHD.PhyHealth.q

LPHD.PhyHealth.t

MMXU1.Health.q

MMXU1.Health.t

LPHD .PhyHealth.StVal

MMXU1.Hz.q

MMXU1.Hz.t

MMXU1.HzRte.ma g.fMMXU1.HzRte.q

MMXU1.HzRte.t

MMXU1.Health.StVal

MMXU1.A. PhsB.t

MMXU1.A.PhsC.cVal .mag.fMMXU1.A.PhsC.cVal .ang.f

MMXU1.A.PhsC.q

MMXU1.A.PhsC.t

MMXU1.Hz.mag.f

MMXU1.A.PhsB .cVal .mag.fMMXU1.A.PhsB.cVal .ang.f

MMXU1.A. PhsB.q

MMXU1.PhV. PhsB.t

MMXU1.PhV.PhsA.cVa l .ang.fMMXU1.PhV.PhsA.q

MMXU1.PhV.PhsA.t

MMXU1.PhV.PhsB.cVa l .mag.fMMXU1.PhV.PhsB.cVa l .ang.f

MMXU1.PhV. PhsB.q

MMXU1.PhV.PhsA.cVa l .mag.f

DataSetSynchrophasor Data

IEC 61850-90-5 frame specification

Connection with PMUBased on

IEEE Std C37.118

UDP/IP

WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 201504/12/2015

ideal grid for all 63

Seyed Reza Firouzi [email protected]

Receiver

Gateway

National InstrumentCompactRIOà PMU

Wireshark capturesIEC 61850-90-5

R-SV / R-GOOSE

• Implementation and Results• HIL Real-time simulationà SmarTS Lab

• Conformance of the functionality of the library with the requirements of IEEE C37.118.2 and IEC61850-90-5 is validated.


ideal grid for all

Applications

Providing Dynamic Information


ideal grid for all

Dynamic Model Synthesis ofDistribution System

Data curation, fusionand extraction of

steady state component• Ambient Data Analysis

(for stochasticvariations)

• Ringdown Data Analysis(for transients)

TSO

Calculation ofstability indices

Data processand analysis



CentralizedArchitectureDecentralizedArchitecture


ideal grid for all

Centralized vs decentralizedarchitecture (better observability)

Dynamic Stability Indices

Decentralized Mode Estimation


ideal grid for all

Centralized vs decentralizedarchitecture (local mode visibility)


ideal grid for all

Voltage Stability Analysis in Distribution NetworksSLIDE 68

68

By samplings from PMU1 and PMU2,three different equivalent models aredeveloped

Computation of stability indicators based on real-time measurements and equivalent models.


ideal grid for all SLIDE 69

69

Three different PV curves are calculated from the three models.The voltage stability and instability indices are calculated from these models to indicate thecontributions of two networks on the voltage stability.


ideal grid for all SLIDE 70

SLIDE 70

LABVIEW Application

Real-time simulations results for aggregatedload (LV network) seen from PMU22:

A. all distributed generations inside MV networkare disconnected

B. all distributed generations inside MV networkare connected

A B

04/12/2015






• Demonstrations

• Conclusions



1. Use Cases

2. SGAMArchitecture

3. Implementationof architecture

4. Field and LabDemonstration



1. Use Cases

MonitoringUse Cases

Control UseCases

BusinessUse Cases

• State estimation, forecast, network update, measurement collection• LV, MV, control center power control, block OLTCs, FLISR• Purchase of energy and flexibility, activation of flexibility



1. Use CasesUse Case description

Steps Information producer Information receiver Function Information exchanged Requirement

1

2 … … … …

Informationexchanged

Switch statusVoltage measuremenCurrent measurementPower/energymeasurement

Functions

Data acquisitionData reportData storageSignals samplingStatistical calculation

ActorsSAU(PSAU).MMSSAU(PSAU).RDBMSSAU(PSAU).IEC104DMS.MMSSensorSAU(SSAU).MMSDMS.ModbusSAU(PSAU).FunctionsSAU(PSAU).ModbusDMS.IEC104IED(PSIED).MMSIED(PSIED).functions

Requirements

Requirement: transfer timeRequirement: Transfer rateRequirement:SynchronizationRequirement: Availability

SAU(PSAU).MMS SAU(SSAU).MMS Data Report Switch Status TT = 100 ms …


ideal grid for all

2. SGAM architectureGeneral description and link to use cases

04/12/2015SLIDE 75

1. Business framework2. Functions to be implemented3. Data models in the main automation

standards4. Communication protocols5. Components, both hardware and

software to take part to theautomation system

Smart Grid Coordination Group, CEN-CENELEC-ETSI, Tech. Rep., 2012


ideal grid for all

2. SGAM architectureBusiness layer and mapping to component layer

04/12/2015SLIDE 76

Business layer• Business actors are connected by business

transaction• Each one has a business goal• Business actors are mapped onto

components

Business goals

Business transactions


ideal grid for all

2. SGAM architectureComponent layer

04/12/2015SLIDE 77

Substation automation unit (SAU)MMS

Relational database managment system(RDBMS)

Time series database (TSDB)

Interfaces

Database

Functions

SAU

Modbus

Data reportData storageCheck flagCIM parsingData reconstructionDetect errorFault isolationLoad forecastMissing dataOptimal power flowpower quality controlpower quality indexesalgorithm performance indexSecond fault isolationState estimationState forecastStatistical calculationData acquisitionProtection updateReading/Writing IEDs setting

DLMS/COSEM

IEC 61850-90-5

Web Services (WS)

Each component has been defined in terms of• Interfaces• Database• Functions

New actor developed :• Substation Automation UnitFurther development for• Commercial aggregator• Distribution management system (DMS)• MicroGrid Central Controller

Alsopresent infunction

layerand UCs


ideal grid for all

2. SGAM architectureInformation layer

04/12/2015SLIDE 78

Network static data

IEC 61850 – data modelsLogical node Data object Data Attribute

ATCC BndCtr ASG setMag AnalogueValue

CIM – data models


ideal grid for all

2. SGAM architectureCommunication layer

04/12/2015SLIDE 79

Steps Informationproducer

Informationreceiver

Function Informationexchanged

Requirement

1 SAU(PSAU).MMS SAU(SSAU).MMS DataReport

Switch Status Transfer Time = 500 msTransfer Rate = 1000 kb/sSynchronization accuracy = …Availability = …

2 … … … …



Function layer• Functions have been realized in WP4 (FLISR), WP5

(Monitoring and LV, MV, control center control),WP6 (business and commerical aggregator)

• Functions are adapted in order to read and writefrom a standardized IDE4L database

Smart Grid Coordination Group, CEN-CENELEC-ETSI, Tech. Rep., 2012

Communication layer• The requirements of the information exchange

grouped onto technology classes

2. SGAM architectureOne step toward implementation

Information layerExchanged data are clustered onto classes andmapped to• CIM data models for static data and business

related data• 61850 for real time data

Component layerEach component has been defined in terms of• Interfaces• Database• Functions


ideal grid for all

3. Implementation of architectureInterfaces, Database, Algorithms

04/12/2015SLIDE 81

Database

Interfaces

Client

Server

Algorithms

• Stateestimation

• Power Control• Measurement

collection• …

Generic SAU, DMS,MGCC, IED


ideal grid for all

3. Implementation of architectureDatabase structure

04/12/2015SLIDE 82

Measure & Command Model• physical device, logical device, logical node, data object

and data attribute• set of information to parameterize the communications

interface to each physical device (such as IP addresses,TCP ports, users and passwords, etc.)

Management Model• Represents the models related to an

algorithm.• instantiate, parameterize and control the

execution of a specific algorithm

Bridge ModelIt is the connection schema forall other schemas. In this datamodel every relation amongMeasure & Control, Managementand Network are described

Network ModelContains the network topology and parameterrepresentation


ideal grid for all

4. Field and Lab demonstrationUse Case mapping, KPIs

04/12/2015SLIDE 83

Use Case mapping and KPIs• All use cases have been assigned to demonstrators• Each use case has a set of Key Performance Indexes (KPIs) in order to evaluate

the performance of the architecture (deliverable 7.1)Field demonstrators• Real loading/generation conditions

• real PQ issues• real congestions

• Real amount of information exchanged• Real componentsLab demonstrators• “Real”à “Realistic” (past data or collection of statistics)• Tests with different time windows and simulation stepsà check different

issues of PQ, congestions• It is possible to introduce errors/issues in different parts of monitoring/control

chain


ideal grid for all

Conclusions and Exploitation of IDE4Larchitecture

04/12/2015SLIDE 84

1. Use cases• Around 30 use case detailed descriptions• List/description of actors, information exchange, functions and requirements(D3.1 and D3.2)

2. SGAM architecture• SGAM communication, information, component, business layer in .xls or

enterprise architect files(D3.2)

3. Architecture Implementation• 61850, CIM information mapping .xls tables to facilitate standard

implementation of architecture• Database structure and sample communication interfaces(D3.2)

4. Field and Lab demonstration• Demonstration results(D7.2)







• Demonstrations

• Conclusions


ideal grid for all 01/12/2015 WWW.IDE4L.EU -SLIDE86

Lab Demo Site

Field Demo Site


Lab Demo Site

Field Demo Site

Copenhagen, Denmark


Lab Demo Site

Field Demo SiteBrescia, Italy

ideal grid for all 04/12/2015 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015SLIDE 89

Building-blocks, e.g.:1. Algorithms2. TLV’ devices3. Third party devices4. Third party software

Groups of building-blocks, e.g.:1. State estimation

algorithm within a PCconnected to an RTUvia a 61850 interface

Use cases, e.g.:1. Monitoring of LV grid

(PC + state estimation+ RTU + Smart meters +interfaces)

Integration lab.The testing approach: a three-steps procedure

1stDev. lab 2nd

Integration. lab 3rdDemo

ideal grid for all

A2A



A2A (LV network)ASSETS:• 1 Secondary substation• 10 LV feeders

• 5/10 FDs with monitoring equipment• 1/10 FD with monitor and control• 10/10 FDs managed by algorithms

USE CASES:• RT monitoring• Load and production forecaster• State estimation• Power control


A2A (LV network)

Secondary substation involved in the LV test phase

ideal grid for all

A2A



A2A (LV network)

LV controllable breakers


A2A (LV network)

LV – BPL modem

SM PV

SMLoad

LV customer


A2A (LV network)

DVR

STATCOM

PV inverter


A2A (LV network)• Solar eclipse March, 20th 2015

• Power reduction : 40%-75%• Voltage reduction: 5 V (worst case)


A2A (LV network)• Voltage profile:

• 3 LV customers• 1 week• 6 samples per hour

ideal grid for all

A2A



A2A (MV)ASSETS:• 1 Primary substation• 3 MV feeders

• 2 fully automated• 1 included in the simulation

• 3 Secondary substation withbreakers

MV USE CASES:• RT monitoring• State estimation• FLISR• Network reconfiguration


A2A (MV)

MV circuit breaker


Lab Demo Site

Field Demo Site

Seville, Spain

ideal grid for all

TelventMV Use cases• Network real-time monitoring• Distributed FLISRHardware and software• RTU

• Telvent HU_AF + AB_AC• Signal Generator

• Omicrom CMC 353• GOOSE compatible Switch

• Netgear GS105Ev2• PC tools

• IEDs Web Server Connection• IED Scout• Wireshark


GeneratorController&

Wireshark & IED Scout

Triphasic signalgenerator

Multiple RTU

ideal grid for all

Validation Cabinet


Telvent

Components• Light indicators for

switch/circuit breakersposition

• Configurable fault impedances• 5 short-circuits testing points


Lab Demo Site

Field Demo Site

Tampere, Finland

ideal grid for all

TUTUse cases (MV and LV)• Network real-time

monitoring• State estimation• State forecast• Power control (secondary

control of congestionmanagement)

• Distributed FLISR

Hardware and software• RTDS• Smart meters

• Kamstrup Omnipower• Landis&Gyr E650

• RTU• Monitoring: iRTU (iGrid)• FLISR: Telvent HU_AF + AB_AC

• Voltage controllers• OLTC: ABB REU615• DG: ABB Unitrol 1020

• GW: Modbus to IEC61850 (HMS)• PSAU and SSAU


ideal grid for all

TUT – State estimation use case04/12/2015SLIDE 107 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

TUT – Power control use case04/12/2015SLIDE 108 WWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015


Lab Demo Site

Field Demo SiteBarcelona, Spain

ideal grid for all

IREC



IRECWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015


IREC – setup 1ASSETS:• 1 Grid emulator 200 kW• 1 Interconnection Switch• 1 Microgrid central controller

• Energy management system• Safety controller

CONTROLLABLE NODES:• Up to 6 DER emulators of 4 kW each• 1 supercapacitor bank of 5 kW• 1 lithium-ion battery of 10 kVA (5 kW)

USE CASES (LV):• Flicker mitigation

• Grid emulator + Supercapacitors• Microgrid islanding

• 1 Interconnection Switch + Lithium-ion battery + Safety controller



IREC – setup 2ASSETS:• 1 LV microgrid

• 1 PV emulator• 1 battery• 1 residential load emulator

• 1 digital simulator with poweramplification

• 1 grid emulator

CONTROLLABLE NODES:• 1 HEMS with flexibility

functionality

USE CASES (MV/LV):• CRP activation



Lab Demo Site

Field Demo Site

Aachen, Germany

ideal grid for all

RWTH04/12/2015 WWW.IDE4L.EU - Review meeting 5th May 2015SLIDE 115

Switch

LV Cabinet (simulated)

MV/LV substation (simulated)

PMU OLTCCTRL

Switch

HV/MV substation (simulated)

PMU

OLTCCTRL

SSAU

61850 MMS client

61850 MMS server

DLMS/COSEM client

NTP

SCADA/DMS

Control center

AC

DC

AC

DC

AC

DC

SM

ESCTRL

PVCTRL

EVCTRL

Customer (simulated)

61850 MMS client

CC Network Reconfiguration (NR)

PSAU

61850 MMS client

61850 MMS server

network real time MONitoring (MON)State Estimation (SE)Power Control (PC)

network real time MONitoring (MON)State Estimation (SE)Power Control (PC)

SM

LV RT mon

MV RT monMV RT mon

MV RT mon

MV RT mon

LV PC

LV PC

MV PC

MV PC

MV RT mon

CC NR

CC NR

SMSTATCOMCTRL

AC

DC

Switch

C37.118

Phasor Data Concentrator (PDC)

Telecomm. device

IED

Building blocks

modbus

DLMS/COSEM

61850-MMS(report)

61850-MMS(control/substitute)

61850-GOOSE

104

WS

Data flowsFOPLCETHWirelessSerialPlain cable

Physical connections

Tertiary Control:

Market agent (MA)

Use case tested• LV and MV Monitoring• LV and MV State

estimation• LV and MV Power Control• Control center power

control


RWTH

Alstom PMUs and GPS Unit PMU prototype

RTDS


Testing Platform for MV & LV monitoring & controlsystems


Testing Platform for MV & LV monitoring & controlsystemsUse Case : Monitoring and state estimation


Testing Platform for MV & LV monitoring & controlsystemsUse Case : Low voltage and medium voltage control


Lab Demo Site

Field Demo Site

Bronholm, Denmark


ØSTKRAFT (LV network)ASSETS:• 1 Secondary substation• 4 LV feeders

• monitoring equipment• Smart meters 112• Weather station

USE CASES:• RT monitoring• Load Forecaster• State estimation• State forecast


ØSTKRAFT (LV network)

LV –Feeders

Smart meterConcentrator

LVmonitoring

WeatherStation

Substation29 Tejn


ØSTKRAFT (LV network)• Example of a smart meter profile with 5 minute values:


ØSTKRAFT (MV)ASSETS:• 1 Primary substation• 1 MV feeder• 2 secondary substations

MV USE CASES:• FLISR

ideal grid for all

OST


MV switch gear29 Tejn

MVmonitoringand controlequipment

29 Tejn

ideal grid for all

OST


Switch

SSAU


Lab Demo Site

Field Demo Site

Madrid, Spain


UFD (LV)ASSETS:• 2 Secondary substations; 10 LV feeders; 240 loads + DERs

CONTROLLABLE NODES:• LV network reconfiguration• Control of DERs

USE CASES (LV):• RT monitoring• State estimation• Power control• State Forecast• Load & Generation

Forecast



UFDWWW.IDE4L.EU – Tampere Dissemination Activity 4th December 2015

ideal grid for all

UFD deployment

04/12/2015SLIDE 130

PV panels

WindTurbine

GasGenerator

ElectricVehicle

LVSupervisor

Physical device=

UCSLIN_1

Logical device=

LININVMCAGGIO1

LogicalNode

=GGIO01(Generic

Input/OutputData)

Data Object= AnIn

Analogue InputData Object

= AnOutContr.Analogue

Output

Data Object= Ind

General Indication

Data Attributesmag: Analog. Value

q: QualityT: TimeStamp

Data AttributesOper: INT32

Data AttributesstVal: INT32

Q: QualityT: TimeStamp

Mapping information fromMODBUS to IEC61850


ideal grid for all

UFD deployment

04/12/2015SLIDE 131

61850 SERVER

LV Supervisor

61850 SERVERData from: PVWind TurbineGas Generator

Electric VehicleLV Supervisor

Meter DataConcentrator(instant values)

SAUSAU

Data Base

Algorithms• State Estimator• Power Control• Load Forecast• State Forecast


ideal grid for all

Status Interface: last importation, status, error detectionUFD deployment

04/12/2015SLIDE 132

Data Monitoring Interface:







• Demonstrations

• Conclusions


ideal grid for all

How IDE4L will change business of DSO?

• Technical approach for ANM• Design and operational changes

• Non-firm connection capacity increase remarkably networkhosting capacity for RESs and DERs

• DERs participate indirectly in ANM (Market approach)• Complexity of system increases

• Decentralized and standard based automation• Monitoring and control of whole grid (scalability)

• Technical solutions for ANM• Real-time monitoring (New sensors: smart meters, PMU, …

and New functionalities: state estimation)• Reliability enhancement (Decentralized FLISR and microgrids)• RES hosting capacity (Congestion management)


ideal grid for all


• Market based approach for ANM• DSO enables flexibility services to participate in different

markets• DERs are merged by CAs which have the roles of retailer and

balance responsible party (participation to wholesale market,balancing market and portfolio optimization)

• DSO/TSO maintain a market for constraints management(local market)

• DSO/TSO validates flexibility service requests• DSO may buy flexibility services (e.g. SRP and CRP) from CA

to solve congestion in the network


ideal grid for all

EMS


04/12/2015SLIDE 136

Distributed

Active Network /Customer

TraditionalTraditionalnetwork

PV, EV, heatPV, EV, heatpumps, …

SCADA /SCADA /DMS

control of DERPrimary

control of DER

CommercialAggregatorCommercialAggregator

DecentralizedDecentralizedFLISR

AMRCentralized(resources andintelligence)

AMI

SAU withfunctionsSAU withfunctions

Microgrid

automationFeeder

automation

Passive Network /Customer

TechnicalAggregatorTechnical

Aggregator

hydro, …Wind,

hydro, …

System ofmicrogridsSystem ofmicrogrids

PMU


ideal grid for all

Thank you!

www.ide4l.eu

future flexible distribution system · 2015-12-04 · ideal grid for all slide 2 04/12/2015 agenda...

Documents