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PROJECT PLAN TITLE

The PQM project

CLIENT(S)

Norwegian Research Council, Skagerak Nett, EBL, Statnett, Statkraft Norsk Hydro, Hafslund Nett, Helgeland Kraft, Lyse Nett, Powel, NTE, Istad, NVE

CLIENT’S REF.

Frank Nilsen

BUDGET NOK (TOTAL) DATE REVISED PER

SINTEF Energy Research Address: NO-7465 Trondheim, NORWAY Reception: Sem Sælands vei 11 Telephone: +47 73 59 72 00 Telefax: +47 73 59 72 50 www.energy.sintef.no Enterprise No.: NO 939 350 675 MVA

19.590.000 2009-06-30 PROJECT NO. CLASSIFICATION PROJECT MANAGER (NAME, SIGN.) NO. OF PAGES

12X519 Open Kjell Sand 30 ELECTRONIC FILE CODE PROJECT RESPONSIBILITY (NAME, SIGN.)

08121293324 Knut Samdal START DATE TERMINATION RESEARCH DIRECTOR (NAME, SIGN.)

2007-01-01 2011-12-31 Petter Støa DIVISION LOCATION LOCAL FAX

Energy systems Sem Sælands vei 11 73 59 72 50

This project plan focus on the project activities in 2009. The project applications to the Research Council are included as attachments as the plans and objectives described in those documents are the basis for project funding and hence binding unless otherwise agreed with the Research Council and the other project partners.

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TERMINOLOGY PQM Acronym for Power Quality Management in the context of the project comprising both reliability management and voltage quality management AMS Acronym for Advanced Metering and Control Systems including smart metering , two-way communication etc. Quality of the electricity supply (QoS) collective effect of all aspects of performance in the supply of electricity NOTE This includes security of supply as a prerequisite, and also reliability, power quality, pricing and customer relationships. Reliability (of an electric power system) probability of satisfactory operation of a power system over the long run. It denotes the ability to supply adequate electric service on a nearly continuous basis with few interruptions over an extended period of time NOTE Reliability is the overall objective in electric power system design and operation. Voltage quality = power quality characteristics of the electric voltage at a given point on an electric power system, evaluated against a set of reference technical parameters NOTE These parameters might, in some cases, relate to the compatibility between electricity supplied on an electric power system and the loads connected to that electric power system

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OBJECTIVE The project has the following main objective as of revision 2009:

• To increase the knowledge base concerning quality of supply management in view of new technology options and changes in the utility framework such as:

o New advanced measurement quality of supply measurement instruments capable of measuring “everything”

o Increased quality of supply instrumentation by deployment of new low cost quality of supply measurement devices in substations and at supply terminals

o New possibilities following the introduction of AMS (Advanced metering and control systems) to “all” network customers

o Changes in the use of electricity – changed load patterns o Increased influx of distributed generation and renewables o Changes in quality of supply standardisation and regulatory requirements o The large increase expected in quality of supply data

The following partial objectives are included to contribute to the overall objective:

• Survey quality of supply needs with Norwegian utilities and the TSO • Develop a new low cost “PQ-meter” based on a patent held by SINTEF Energy Research • Deploy and test the PQ-meter (hardware and software) • Develop and evaluate a new concept for quality of supply management in electrical power

systems utilising new technology options, quality of supply increased instrumentation and interfaces with AMS

• Development of a quality of supply measurement repository (PQ database) to manage the huge quality of supply data expected in the future

• Test and evaluate quality of supply measurement instruments including energy meters with quality of supply measurement capabilities

• Develop solutions for quality of supply diagnostics • Develop and/or adapt quality of supply simulation and decision tools for prioritized quality

of supply phenomena • Deployment of a number of advanced quality of supply meters to assess quality of supply

in different supply situations and at different voltage levels with particular focus on transmission of disturbances between different voltage levels and from disturbance stemming from distributed generation and new renewables (wind farms etc).

• Contribute to the knowledge base serving quality of supply regulation and standardisation • Competence building through PhD- candidate • Knowledge transfer to project partners and international collaboration organisations

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ACTIVITIES The project is organised in 16 work packages (WPs):

WP Name WP-leader 0 Project management Tarjei Solvang 1 QS needs and options Helge Seljeseth 2 Description of overall QS management concept Helge Seljeseth 3 Measurement hardware development Kjell Ljøkelsøy 4 Local Measurement analysis package Leif Warland 5 Utility PQ database management Hanne Sæle 6 PQ metering chain verification Helge Seljeseth 7 Development and implementation of methods for analysis of

large amounts of QS data Helge Seljeseth

8 Establish adequate models for simulation of quality of supply indices in typical existing networks for high-priority QS phenomena

Kjell Sand

9 Development of methods for prediction of QS indices in future supply situations

Kjell Sand

10 Integration of the new QS concept and tools with utility framework for Asset Management decision-making

Kjell Sand

11 PhD Kjell Sand 12 Dissemination and exploitation of results Tarjei Solvang 13 International activity and cooperation Tarjei Solvang 14 Effects on voltage quality of integration of distributed

generation and new renewables Tarjei Solvang

15 Purchase of technical equipment – Test platform –kWh testing

Tarjei Solvang

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Key activities 2009

WP Activities 2009 0 Project management

• Project management, planning and follow-up • Project status reporting including Research Council reporting

1 QS needs and options Completed 2 Description of overall QS management concept

• Based on the developed concept – to describe overall requirements • To specify interfaces and concept element integration

3 Measurement hardware development. First phase using FPGA based processor board: Lasts to ca 1. Oct. 2009.

• Making software for the first version: Managing the USB port, making a sound card equivalent, Data acquisition and buffering.

• Building pilot units. ca 5x. Estimated to be ready for use July 2009 • Deployment and experience gathering with pilot units. • Milestone. Plans for second phase.

Second phase. Small, low cost version. Extended to medio-ultimo 2010. • Determine specifications – evaluate stand-alone options • Choose components. • Detail design. Schema drawing. (Expected finished ultimo 2009)

Further activities which is expected to be performed in 2010 is • Second phase continuing: Board layout. Software programming. Assembly of

1-2 units for testing. Series production, after error correction. ca 50x. Deployment. .

• Third phase. Experience gathering using the first units. Possible integration into AMS

4 Local Measurement analysis package • Robustness, data transfer error detection and handling. • Data transfer to databases. • Integration into AMS systems.

5 Utility PQ database management • Specify functional requirements • Evaluate existing solutions and identify improvements needed

6 PQ metering chain verification • Design verification specification • Practical tests

7 Development and implementation of methods for analysis of large amounts of QS data

• Survey relevant PQ indicators • Survey relevant measurement locations • Specify PQ indicators and reports to be generated • Evaluation of available methods for PQ statistics generation

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8 Establish adequate models for simulation of quality of supply indices • Complete memo describing the field of quality of supply simulation for

continuous phenomena and events • Quality of supply simulation market survey (what is available, functionality,

user competence needed, input data requirements..) • Develop guideline for the use of load flow simulation programs in quality of

supply simulation with special emphasis on providing correct load and input from distributed generation information /load curves when estimating supply voltage variations.

• Develop minimum requirements for simulation tools for the highest prioritized phenomena according to the PQ survey: voltage variations, flicker, transients, temporary overvoltages, harmonics, dips…

• Investigate for which phenomena load flow models can be helpful (as utilities have some experience in using such tools)

• Conclude with a road map for simulation tools development or simulation tools implementation

9 Development of methods for prediction of QS indices in future supply situations • Develop memo describing issues, problems, concepts for quality of supply

prediction 10 Integration of the new QS concept and tools with utility framework for Asset

Management decision-making • To be started in 2010

11 PhD • Developing a new methodology for power quality diagnostics combining

measurement data with network information and customer information data. • Prototype and evaluate various methodology based on statistical methods for

the diagnostics of disturbances (voltage variations, voltage dips, harmonics etc.).

• Testing and verification in laboratory environment • Perform field tests for evaluation of practical cases

12 Dissemination and exploitation of results • Paper CIRED 2009 • PQM annual workshop

13 International activity and cooperation • Participation in IEC, CENELEC and Eurelectric committees and working

groups: TC8X - /WG1/TF3/TF4 , TC8 -/WG1/AHG3/WG3, N-E Standardisation

• Workshop EdF – SINTEF • Information exchange AEEG – SINTEF • Provision of Norwegian PQ measurements, test, requirements and knowledge

relevant for international standardisation to secure that national conditions are considered

14 Effects on voltage quality of integration of distributed generation and new renewables

• Deployment of advanced PQ measurement devices • Establish routines for automatic gathering of measured data to central PQ

database • Continuous analysis of measured data

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15 Purchase of technical equipment – Test platform –kWh testing • Pilot series PQM instrument • Test platform – laboratory investments • kWh meters PQ capability testing

BUDGET 2009-2011

WP Activities 2009 2010 2011 SUM SUM 4810 4210 3310 12330

0 Project management 300 300 300 900

1 QS needs and options 0 0 0 0

2 Description of overall QS management concept 300 0 0 300 3 Measurement hardware development 350 150 0 500 4 Local Measurement analysis package 150 0 0 150 5 Utility PQ database management 300 0 0 300 6 PQ metering chain verification 100 300 200 600 7 Development and implementation of methods

for analysis of large amounts of QS data 300 500 500 1300

8 Establish adequate models for simulation of quality of supply indices in typical existing networks for high-priority QS phenomena

500 600 200 1300

9 Development of methods for prediction of QS indices in future supply situations

300 400 500 1200

10 Integration of the new QS concept and tools with utility framework for Asset Management decision-making

0 200 300 500

11 PhD 620 640 330 1590 12 Dissemination and exploitation of results 100 100 150 350

13 International activity and cooperation 400 400 400 1200 14 Effects on voltage quality of integration of

distributed generation and new renewables 640 470 430 1540

15 Purchase of technical equipment 400 300 0 700

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FINANCING Organisation 2007 2008 2009 2010 2011 SUM Skagerak 100 100 100 100 100 500 EBL 150 150 150 150 150 750 Statnett 150 150 150 150 150 750 Statkraft 100 100 100 100 100 500 Hydro 150 150 150 150 150 750 Hafslund 100 100 100 100 100 500 Helgeland 40 40 40 40 40 200 Lyse 100 100 100 100 100 500 Powel 290 290 290 290 290 1450 NTE 40 40 40 40 160 Istad 40 40 40 40 160 NVE 150 150 150 150 600 SINTEF 150 0 0 0 0 150 NFR 1020 1500 2000 1600 900 7020 NFR Additional 2000 1400 1200 1000 5600 SUM 2350 4910 4810 4210 3310 19590 NFR % 43 71 71 67 57 64

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WORK SCHEDULE/REPORTING

2009 2010 2011 WP Activities T1 T2 T3 T1 T2 T3 T1 T2 T3

Project management, planning and follow-up

Project status reporting including Research Council reporting

Advisory Council Meetings

WP0 – Project management

Project Workshop

WP1 – QS needs and

options

Completed in December 2008

Description of overall requirements and specification of interfaces and concept element integration for QS management concept

WP2 – Description of

overall QS management

concept Reporting D2.1

First phase based on USB (software and pilot development and deployment)

Second phase (small low cost version) – Specification, component decisions and detailed design

Second phase (small low cost version) – Software programming, testing and deployment of approx. 50 units

Third phase – Experience gathering from first phase units – Int. with AMS

WP3 – Measurement

hardware development

Reporting D3.1 D3.2 D3.3 D3.4 D3.5 Development of local measurement analysis package including - Robustness, data transfer error detection and handling - Data transfer to databases. - Integration into AMS systems.

WP 4 – Local Measurement

analysis package

Reporting D4.1 D4.2 Specification of functional requirements

Evaluation of existing solutions and identification of needed improvements

WP5 – Utility PQ database management

Reporting D5.1 D5.2 Design verification specification Practical tests

WP6 – PQ Metering

Chain Verification

Reporting D6.1 D6.2

Survey over relevant PQ indicators Survey relevant measurement locations Specify PQ indicators and reports to be generated

Evaluation of available methods for PQ statistics generation

WP7 – Development

and implementation of methods

for analysis of large amounts

of QS data Reporting D7.1 D7.2

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2009 2010 2011 WP Activities

T1 T2 T3 T1 T2 T3 T1 T2 T3 Description of the field of quality of supply simulation for continuous phenomena and events

Quality of supply simulation market survey

Development of guideline for the use of load flow simulation programs in quality of supply simulation

Development of minimum requirements for simulation tools for the highest prioritized phen. acc. to the PQ survey

Investigate for which phenomena load flow models can be helpful

Road map for simulation tools development or simulation tools implementation

WP 8 – Establish adequate models for simulation of quality of supply

indices

Reporting D8.1 D8.2 D8.3 Description of issues, problems, concepts for quality of supply prediction

WP 9 – Development of

methods for prediction of QS

indices Reporting D9.1 D9.2

Integrate the new tools developed in WP 8 and WP 9 with existing utility asset management decision making tools also taking into account smart grid devel. scenarios

WP 10 – Integration of the new QS concept

Reporting D10.1 D10.2 D10.3 WP 11 – PhD PhD Study

WP 12 – Dissemination and

exploitation of results

Dissemination and exploitation of results (Papers, eRoom, etc.)

WP 13 - International activity and cooperation

• Participation in IEC, CENELEC and Eurelectric committees and working groups

• Workshop EdF – SINTEF • Information ex. AEEG –

SINTEF • Provision of Norw. PQ

measurem., test, requirem. and knowl. relevant for international stand. to secure that national conditions are considered

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2009 2010 2011 WP Activities T1 T2 T3 T1 T2 T3 T1 T2 T3

Deployment of advanced PQ measurement devices

Establish routines for automatic gathering of measured data to central PQ database

Analysis of selected phenomena

WP 14 – Effects on voltage quality of

integration of distributed generation and new

renewables

Reporting D14.1 D14.2 D14.3 D14.4 Purchase Pilot series PQM instrument

Test platform – laboratory investments

kWh meters PQ capability testing

WP 15 – Purchase of technical equipment – Test

platform – kWh testing

Reporting D15.1 Deliverables: WP 2 D2.1: TR WP2 – QS concept – Final report

D3.1: Project memo describing the process so far regarding the PQ meter development and options/challenges ahead. Includes work from WP4 D3.2: 5 pilot units based on FPGA based processor board with USB interface, and project memo containing technical descriptions of pilot units. D3.3: Project memo with experiences from deployment of the first pilot units and

possibilities regarding AMS integration D3.4: Project memo with detailed design specifications for second phase units

WP 3

D3.5: Project memo with experiences from software programming and deployment of second phase units D4.1: Project memo with description and status of analysis package after

deployment and use of first phase measurement units including plans for next phase WP 4

D4.2: Project memo with description and status of analysis package after deployment and use of second phase measurement units, including integration with AMS

D5.1: Project memo with an evaluation of existing PQ databases WP 5 D5.2: Technical report describing the functional requirement for a utility PQ database D6.1: Project memo with design specification for the PQ metering chain

WP 6 D6.2: Technical report with description of and experiences from practical tests of the different developed measurement units D7.1: Project memo presenting results from surveys regarding PQ indicators and relevant measurement methods WP 7 D7.2: Technical report describing the analysis and reporting large amounts of PQ data D8.1: Project memo describing simulation tool principles for simulation of

continuous phenomena and events, including a survey of existing tools. D8.2: Project memo containing guidelines for the use of load flow simulation programs in quality of supply simulation and minimum requirements for simulation tools for the highest prioritized phenomena WP 8

D8.3: Technical report containing a road map for simulation tools development or simulation tools implementation

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D9.1: Project memo describing issues, problems, concepts for quality of supply prediction WP 9 D9.2: Technical report describing methods for prediction of quality of supply indices D10.1: Project memo on voltage dips D10.2: Project memo on the need for PQ simulation tools to be integrated with decision support tools

WP 10

D10.3: Technical report with recommendations for PQ simulation tools as part of the asset management and smart grid framework D14.1: Project memo describing measurement locations and the measurement

system, including experiences from the establishment and operation D14.2: Project memo which summarizes measured phenomena in the different measurement locations for 2009 D14.3: Project memo which summarizes measured phenomena in the different measurement locations for 2010

WP 14

D14.4: Technical report describing effects on voltage quality of integration of distributed generation and new renewables based on measurement results and literature surveys

WP 15 D15.1: Technical report with results from testing of energy meters with PQ measurement capability

*) Bold shall be delivered in 2009

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APPENDIX I ORIGINAL PROJECT APPLICATION

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A NEW CONCEPT FOR POWER QUALITY AND RELIABILITY MEASUREMENT AND MANAGEMENT – THE PQM PROJECT Project description PART 1: The PQM project 1. Objectives The project has two main objectives – one from an industrial and new services perspective and one from a community/utility perspective: Industrial and service perspective Community/utility perspective Objectives To develop new products (new

instruments – new software) and services for power quality measurement and management for the national market based on a new measurement patent held by SINTEF Energy Research

To develop and evaluate a new concept for quality of supply management in electrical power systems including power systems with an influx of distributed generation, including

measurement documentation, estimation,

of quality of supply parameters related to power system reliability and power system quality (voltage quality) to achieve the best balance between costs and quality.

Detailed design and production of a 0-series (50 units) of a new low cost PQ measurement instrument (SINTEF Energy Research patent)

Develop a new holistic concept for quality of supply management, leading to enhance present quality of supply documentation and measurement processes

Development of PQ measurement instrument local software

Develop tools and methods to manage and interpret large amounts of PQ data to determine trends and make them fit for PQ problems alleviation and decision support purposes.

Deployment of the 50 units in typical supply situations

Development of adequate models for simulation and prediction of relevant quality of supply indices in T&D systems - based on T&D system models, historic PQ measurement and fault and interruption statistics

Development of PQ measurement repository (PQ database) Measurement concept testing and verification (in situ tests)

To contribute to PQ analysis of T&D systems with influx of distributed generation and renewables To contribute to improvement of the quality of supply regulatory framework

Partial goals

Create a platform for industrialization of the new measurement and service concept

Competence building through PhD- candidate in the field of quality of supply simulation or power quality measurement, diagnosis and signal analysis.

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In meeting the above mentioned objectives and partial goals, the project will provide the different stakeholders (customers incl. producers, DSOs, TSOs, regulators and manufacturers of equipment) with a knowledge base and necessary measurement, documentation and decision tools to achieve the best possible balance between costs and quality. 2. Frontiers of knowledge and technology The motivation for the PQM project is both linked to state of the art concerning technology, knowledge, impact of DG and to the changes in regulatory frameworks nationally and internationally:

Quality of supply problems in T&D systems increase both due to increased pollution in networks (increased emission) and due to increased use of electrical equipment that are sensitive to disturbances (reduced immunity)

Customers quality of supply requirements with respect to reliability and voltage quality increase as electricity is more widely used in business critical work and industrial processes

The increased influx of distributed generation (i.e. small hydro power, small wind farms) and renewable technologies (for instance larger wind farms) in T&D systems is restricted by power quality and reliability aspects, giving new challenges both to grid operators (TSOs and DNOs) and to power plant operators

Trend towards increased customer protection in general both at the national and international arena (EU) and more strict quality of supply legislation (for instance the new Norwegian PQ Code, the work for Council of European Energy Regulators)

Lack of knowledge on how to achieve the best balance between quality of supply and costs (methodology, decision tools)

Lack of knowledge on how to optimally share responsibilities between quality of supply stakeholders

Limited observation of quality of supply delivered to customers due to expensive measurement equipment.

An expected substantial growth in PQ data (reliability data, voltage quality data) to be managed by utilties steming from new meters – two way communication schemes etc.

A important motivation for the project is also a novel LV measurement instrument patented by SINTEF Energy Research which is expected to have a production cost far less than measurement equipment available in the market today – less than 1/10 of what is presently available in the Norwegian market (typically costs to day range from 1000 € per instrument). The instrument is a single phase instrument which can measure the following voltage phenomena: Frequency, magnitude of the supply voltage, supply voltage variations, rapid voltage changes - flicker, supply voltage dips, interruptions, overvoltages and harmonics. The main tool applied for management of quality of supply has been to establish technical limits for emission of disturbances from electrical equipment and plants and immunity limits for disturbance levels that equipment should withstand. These limits are used as a basis for solving power quality problems and for settling disputes between involved parties. And they might be referred to in legal documents. By respecting certain planning limits the utilities estimates power quality problems to be limited as a proactive measure. But PQ problems when they appear are often solved by a limited number of experts – limitations that has lead to unnecessary delays in the problem solving process and major malfunction and damages on electrical equipment and plants.

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Some phenomena such as interruptions and voltage dips do not have international recognized limits – they are treated on an incentive basis with penalty schemes such as the Norwegian CENS arrangement (Cost for Energy Not Supplied). The situation now calls for a much more holistic approach by all parties involved in the quality of supply field and a much closer coordination between technical power quality levels and costs – and hence new tools for documentation and management – a vision that is signalled in the new Norwegian PQ Code. New distributed generation sources influence the voltage quality and dynamics of distribution networks in a negative way, and introduce a need for detailed computer-based analyses to determine this influence based on size, placement, technology and characteristics of the generation unit (as short circuit contribution, inertia, control equipment, etc.). Such detailed analyses are both time-consuming and costly and the detailed data needed are very often not available. Therefore guidelines are needed to determine whether such analyses are needed or not, with reference to accepted voltage quality rules and regulations. A synthesis of the main shortcomings in today’s measurement and management of quality of supply is the lack of quality of supply measurement and documentation at the customer’s supply terminals, and hence the utilisation of such information in stakeholders’ work, PQ problem solving and PQ decision processes. The project is expected to reduce those shortcomings. The frontier of knowledge and technology offers many building blocks for a more holistic quality of supply management value chain. There is however a need to develop the overall PQ value chain, the missing building blocks and to verify the functionality of the different elements. 3. Research tasks The project is proposed organized in 11 activities (work packages –WPs). Some of these are research tasks labelled (R) while other are activities are more administrative or spin-off activities related to the research activities labelled (A). WP0 Project management –international cooperation (A) In addition to project management and coordination, this activity includes information exchange and coordination with the EdF METRIQUE project and the AEEG project (see section 6 for details) that is not dealt with in the different research activities. WP1 Quality of supply needs and options (R) To structure, collect and summarize different stakeholders’ needs and options considering

Problems and importance related to different quality of supply phenomena Changes in legal framework Increased influx of DG Possibilities emerging from the low cost PQ measurement concept Prioritize which phenomena to focus on in the project

WP2 Description of overall QS management concept (R)

Concept philosophy Concept description i.e. QS work processes Description of hardware/software architecture and data flow (instrument, local software,

remote connections, integration with central PQ measurement database...)

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WP3 Measurement hardware development (R) Detailed design based on existing patent and prototype 0-series prototype production (50 measurement units)

WP4 Local Measurement analysis package (R)

Prepare a functional requirement specification based on the IEC Power Quality Measurement Standard – IEC 61000-4-30

Market survey and evaluation of existing software meeting the functional requirements Implementation of new or existing software for local processing and storage of raw

measurement data Quality assurance (calibration, missing data, illegal data, error reports...) Estimation of PQ parameters (time series and events) Development and implementation of local PQ statistics i.e. aggregation of PQ parameters Development of local user interface (GUI)

WP5 Utility PQ database management (R)

Prepare a functional requirement specification for the central utility PQ database Evaluation of existing central repository system for metered data – Powel MDMS with

respect to manage power quality and reliability data PQ data compression to manage large amounts of PQ data and long term storage using

data compression tools like the wavelet transform. Development of MDMS functionality for

o Collection of PQ parameters from the PQ units (interface, protocols, communication)

o Quality assurance of collected data o Utility PQ data publication (internal/external)

WP6 PQ metering chain verification (R)

Pilot installation of 50 units in different network locations in cooperation with project partners (utilities)

Data collection and evaluation PQ accuracy verification using advanced reference PQ measurement instruments

WP7. Development and implementation of methods for analysis of large amounts of quality of supply data (R)

Prepare a survey over relevant indicators and their statistical foundation including statistical methods, data mining techniques, supply situation data... – including PQ indicators prepared by CIGRE working group C4.07 PQ Indices and Objectives

Evaluation of methods and techniques Implementation of PQ statistics and indicator methods interfaced with the PQ database Trend analysis of PQ data Correlation with grid and customer parameters (type of grid, grid environment, type of

loads, electrical equipment used in the installations, type of end-user...) Visualisation of quality of supply variation and power quality problems propagation

between different voltage levels (estimating transmission coefficients) PQ Diagnosis support i.e. based on pattern recognition methods applied on measurement

data to suggest what are the causes for PQ problems for practical problem alleviation WP8. Establish adequate models for simulation of quality of supply indices in typical existing networks for high-priority QS phenomena (R)

Network simulation modelling

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Evaluation of Stochastic/statistical estimation methods such as Monte Carlo simulation Development of simulation model(s) Model verification

WP9 Development of methods for prediction of quality of supply indices in future supply situations taking expected future network and load development into consideration - including influx of distributed generation for high-priority QS phenomena (R)

The results from WP 8 will be the core (inner loop) of such a prognosis tool supported with scenario models

WP10. Integration of the new QS concept and tools with utility framework for Asset Management decision-making. (R)

• To integrate the new tools developed in WP 9 and WP 10 with existing utility asset management decision making tools – like life cycle cost analysis tools, risk management system, newtwork information system – either as new elements in the decision objective function or as new restrictions.

WP11 PhD (R)

• One PhD candidate is planned to be supported by the project dealing with quality of supply simulation or PQ measurement, diagnosis and signal analysis.

WP12. Dissemination and exploitation of results (A)

Reports Publications Seminars

4. Research approach, methods The research tasks listed in the previous section calls for using a set of different methods and approaches. As the main project objective is to improve overall quality of supply management, comprising a set of aspects: New measurement concept, PQ database, PQ indicators and new/improved simulation tools, each aspect calls for a specific approach – partly indicated in the activity list. A number of techniques and methodologies are expected to be useful for the project – the methods to be applied are available. It is more a matter of putting together a feasible set of methods and available software to make the overall concept attractive from a cost-benefit point of view. A list of prospective methods and tools that will be tested and evaluated in the project are given in the following:

International standards (from IEC, CENELEC) – these are an important knowledge base for the project describing standardised tools, methods and requirements for quality of supply – especially the statistical methods used for measurement of quality of supply.

Engineering of printed circuit board layout and component design Methods and available software for signal processing - filtering, calibration, mathematical

transforms- for calculating power quality indicators like harmonics, dips, Pst, Plt etc. If it is necessary to develop prototypes for the local instrument software, this will done by using Matlab

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Statistical tools, data mining tools used for indicator aggregation and correlation analysis – data compression methodology like the wavelet transform to keep data storage manageable.

Tools for load flow analysis, harmonic load flow, short circuit analysis, reliability analysis, flicker simulation tools embedded in prototypes for quality of supply simulation – the project will by and large utilise existing software as simulation engines embedded in scenario prototypes for instance Monte Carlo driven or driven by fuzzy techniques

New patent activites in addition to the existing one will be part of the R&D project - to expand the application of the new measurement technology also for possible connection with new customer metering terminals (AMR) . 5. Project organisation and management Project Management: SINTEF Energy Research will have the project leadership through the overall Project Manager (Dr. Kjell Sand). Advisory Council: The project partners (DNOs, TSO, subcontractors, Norwegian Electricity Industry Association) will form an Advisory Council meeting twice a year. The project partners are:

Hafslund Nett , Statnett, Norsk Hydro, Helgeland Kraftlag, Lyse Nett, EBL, Statkraft, Skagerak Nett, Powel

The role of the DNOs and the TSO in the project is to initiate cases for the project to be tested in their local systems. The grids will be used as laboratories to perform real case testing and evaluations. EBL (Norwegian Electricity Industry Association) follows the project from and industry strategic position. Powels role in the project is to provide the software basis need in the project and to carry out software related support and services to the project. 6. International co-operation EdF R&D EdF R&D in France is planning to launch a project called METRIQUE -”Measurement, Economical and Technical models Relative to Indicators for the QUality of Electricity”. As the METRIQUE project has activities that are related to the PQM project, it has been agreed to coordinate the two projects as a joint venture to enhance project results in both projects (Letter of intent from EdF R&D is enclosed. As a part of this coordination, it is planned that the Ph.d. student should stay part time with EdF R&D – a one year stay has been planned. The SINTEF Energy Research project OPAL – Optimization of reliability in power systems – will be completed in 2006. The project has an international user group from Norway, Sweden, Denmark and Finland. The OPAL project is expected to give valuable input to the PQM project, and hence a follow-up based on the the OPAL project involving the Nordic usergroup might be foreseen. It is also planned cooperation with Italian Regulatory Authority for Electricity and Gas (AEEG) who is conducting one of Europe’s largest PQ measurement campaigns.. SINTEF Energy Research has in previous projects cooperated with AEEG in the Quality of Supply domain, and a meeting is planned in Milan in September to further decide cooperation principles.

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7. Progress plan The following Gantt diagram shows the project’s main activities and time schedule. Milestones are scheduled after each WPs as indicated in the GANT Diagram by ▼: WP 2007 2008 2009 2010 2011

0 1 2 3 4 5 6 7 8 9

10 12 13

Deliverables will be:

Measurement hardware detailed design documents (confidential papers) Measurement equipment test reports Local measurement software Measurement PQ repository software Simulation and planning methods and prototype software Open and confidential technical reports (TR) in the following order and with planned

content from the research tasks. 8. Costs incurred by each research performing partner. Costs incurred by: SINTEF Energy Research 2007 2008 2009 2010 2011 SUM Personnel- and indirect cost 1550 1830 1930 2130 1930 9370 Equipment 400 100 400 100 100 1100 Other costs 200 300 300 300 200 1300 Total 2150 2230 2630 2530 2230 11770 Other costs will come from the international co-operation due to exchange of students and professionals. Co-operation with NTNU (SEfAS advisors) are included in personnel costs. Costs incurred by: NTNU (1 PhD candidate) 2007 2008 2009 2010 2011 SUM Personnel- and indirect cost 200 600 600 400 0 1800 Equipment Other costs 100* 100 Total 200 600 700 400 0 1900 *) Extra costs due to one year stay with EdF R&D in France.

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9. Financial contribution by partner Financial contribution (see letter of intent from): 2007 2008 2009 2010 2011 SUM Skagerak 100 100 100 100 100 500 EBL 150 150 150 150 150 750 Statnett 150 150 150 150 150 750 Statkraft 100 100 100 100 100 500 Norsk Hydro 150 150 150 150 150 750 Hafslund 100 100 100 100 100 500 Helgland kraftlag 40 40 40 40 40 200 Lyse Nett 100 100 100 100 100 500 Powel 290 290 290 290 290 1450 SINTEF Energy Reseach 150 150 150 150 150 750 The Research Council of Norway

1020 1500 2000 1600 900 7020

Total 2350 2830 3330 2930 2230 13670 The contribution from Powel is partly manhours (200 hours per year – 800 NOK/hour) and partly free disposal of software valued as follows: Powel MDMS – 300 kNOK, Powel NetBas 300 kNOK. The software contribution is distributed over the project period. The research value of the joint venture with the EdF METRIQUE project can be considered as a project contribution – 10% of the METRIQUE project amounts to 1,6 mill NOK. This contribution is not shown in the financial table, but should be considered. Confirmations of financial contribution by partners are attached to this proposal. As the expected funding in the revised plan -13, 76 mill NOK- is reduced compared to the original budget – 19,5 mill NOK , efforts will be made to increase the financial contribution from exisiting and new partners.

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PART 2: Exploitation of results 1. Relevance for knowledge-building areas The Research Council of Norway knowledge-building area is”Energy and petroleum” which include knowledge regarding generation, transmission/distribution, trading and use of energy. The contribution is mainly related to electrical energy production, transport and use and espesically the to improve the power quality and reliability framework and management. As quality of supply is one of the key issues in electrical energy mamagement (others are costs, environmental impact and safety), the competence building is expected to contribute to educational programmes at NTNU in the power engineering domain. 2. Importance to Norwegian industry a) Importance to the central/main companies in the project. The utilities (DNOs and TSO) participating in the project will have better instrumentation of their grids for power quality measurement and evaluation which together with new simulation tools will give a new platform for quality of supply management – including new services for network customers. The power generation companies participating in the project will have new tools for evaluating network pollution when new renewables are to be connected to the networks and hence get a more objective platform for discussing maximum emissions and the needs for grid reinforcements. The hardware and software providers in the project can expect to get new measurement products, software and services to sell in the national and international markets. b) Potential for increased added value in participating companies and for Norwegian business life. Quality of supply costs for network users in Norway annually amount to 2 bill. NOK. The overall transmission and distribution system costs amount to 12 bill. NOK of which 20% can be related to quality of supply (conservative estimate), annually 4,4 bill NOK are due quality of supply management (networks and customers). To estimate the cost savings due to the project will be pure speculation, but even small improvements will have significant monetary impact when 4,4 bill. NOK is at stake. The added value for industrial and commercial partners can be estimated as follows over a time window of three years:

Sales of 10.000 new measurement instruments (Norwegian market estimate) with a unit price of 1000 NOK: 10 mill. NOK.

Software sales estimated to 10 million NOK. Sales of new services – hard to estimate – no estimate given, but should be considered.

3. Relevance to call for proposals and programmes The project is expected to give important contributions to the main goals of RENERGI:

Industrial and commercial development by creating a platform for of new measurement equipment, new software and new services

By providing knowledge and support tools for quality of supply management allowing for more renewables and other environmental friendly energy sources to be connected to the power system

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By contributing to power system and society economics due to better knowledge on how to optimally balance quality of supply and costs for the stakeholder

Increasing power system security with better decision tools allowing the system risk to be estimated by new simulation tools.

By producing new experts in the quality of supply field – an area with increasing problems and very limited expertise

By making available to Norwegian stakeholders state of the art knowledge thorough international co-operation with one of the most prominent centre of excellence in the quality of supply field (EdF) and one of the larger PQ measurement campaigns in Europe (Italy - AEEG)

The project addresses the calls for R&D concerning methods, services and products for power quality management – with relationships to increased capacity utilisation in T&D and to distributed generation and new energy carriers. 4. Environmental impact By better verification of quality of supply impact when connecting renewables and DG to the networks, the project will promote connection of such technologies and give tools to all stakeholders – so that the “market power” of grid owners and operators is reduced. The possible negative impact of the project can be disposal of worn-out measurement instruments, which is expected to be negligible compared to the waste amount of electronics in the mass market.

5. Information and dissemination of results The project intends to have a high profile on information and dissemination activities. We see the importance to publish knowledge and results both national and international and to arrange workshops and thematic meetings for information exchange and learning. Together with the co-operating people at the universities, we will have the opportunity to make input to existing and new student courses. Some of the planned main activities are listed below:

• Establish and maintain an active web homepage in Norwegian and English. • Once a year publish an article in the SINTEF Energy Research magazine Xergi which is

issued 4 times a year. We will also publish 2-3 times in the SINTEF/NTNU-magazine Gemini.

• Articles will be published in the Norwegian periodicals “Elektro”, “Energi” and “TU”. • Papers will be written for presentation at conferences such as:

o CIRED 2007 , 2009, 2011 (national and international referee) o IEEE PowerTech 2009, 2011 (referee) o Papers at Conferences as Nordac, Distribution Europe, EuroMaintenance etc.

• 1 or 2 articles will be written and sent to IEEE Transactions for approval and publishing (referee)

• 1 PhD thesis will be launched • EBL seminars

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APPENDIX II ADDITIONAL FUNDING APPLICATION

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Prosjektbeskrivelse: : Tilleggsaktivitet på pågående KMB 177911 ”The PQM Project”. PART 1: KMB prosjektet.

1. Målsetting Tilleggsaktiviteten det søkes om er først og fremst å ta inn igjen de aktivitetene som ble tatt ut av planene på grunn av redusert bevilgning. I tillegg ønsker vi å styrke prosjektet med å anskaffe utstyr for utprøving og testing noe som vil gi brukerne i prosjektet en betydelig merverdi i form av praktiske og i disse dager etterspurte resultater. Begge disse forholdene vil forbedre prosjektets miljøprofil. Målsettingen skal nås gjennom følgende delmål: • Ta inn igjen delprosjekt WP11 – “Effects on voltage quality of large scale integration

of distributed generation in distribution networks”. (WP11 slik det var I den opprinnelige søknaden)

• Gjennomføre WP9 og WP10 som opprinnelig planlagt. Omfanget av disse aktivitetene ble betydelg redusert på grunn av den reduserte bevilgningen. (WP9 – “Development of methods for prediction of quality of supply indices in future supply situations taking expected future network and load development into consideration - including influx of distributed generation for high-priority QS phenomena” og WP10 – “Integration of the new QS concept and tools with utility framework for Asset Management decision-making.”).

• Innkjøp av et antall ulike, moderne, avanserte kWh-målere for uttesting av funksjonalitet mht måling av leveringskvalitet.

• Innkjøp av et antall måleinstrumenter for utplassering hos nettselskap for kontinuerlig måling av leveringskvalitet

• Produksjon av et antall PQ-målere spesifisert i prosjektet for utplassering og testing. • Innkjøp/etablering av en avansert testplattform til bruk i prosjektet, der vi har full

kontroll over målealgoritmene som brukes.

2. Kunnskaps- og teknologifronten KMB-prosjektet er som beskrevet i hovedsøknaden helt i front med hensyn til kunnskap og teknologi på feltet. Dette bekreftes også av prosjektets formaliserte samarbeid med et parallelt prosjekt som kjøres i regi av EDF R&D (Metrique-prosjektet), samt deltagelse i internasjonale komite- og arbeidsgrupper innen CIGRE CENELEC og IEC på området. At vi tar inn igjen WP11 - “Effects on voltage quality of large scale integration of distributed generation in distribution networks” vil utfylle aktiviteten innenfor et område som også blir stadig mer aktualisert gjennom utbygging av mye småskala vannkraft som knyttes til distribusjonsnettet. Dette er et tema vi har god international oppfølging av gjennom deltagelse i IEA ENARD Annex III – ”DG integration in distribution system” og vår egen KMB ”Distribution 2020”. Tilleggsaktivitetene og ”lab-utstyret” som foreslås innkjøpt vil ytterligere styrke prosjektets muligheter til å nå de resultater som er planlagt. Dette gjelder både kompetansesida, men også ikke minst utviklingen av et instrument for PQ som kan patenteres og bli et viktig hjelpemiddel for norske nettselskap og et produkt for eksport. Siden prosjektoppstart har oppfølging av leveringskvalitet fått økt aktualitet i og med at NVE har foreslått en frist for full utbygging av AMS – Automatisert Måler-System innen 2013. Man forventer at dette vil kunne gi en økt energieffektivisering, men også en mulighet til å overvåke leveringskvaliteten. Flere leverandører av AMS-systemer har startet å reklamere for at de leverer systemer med funksjonalitet for måling av leveringskvalitetsparametere. SINTEF Energiforskning har lang erfaring med at det er

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store forskjeller i målefunksjonalitet, kvalitet og brukervennlighet i spesialiserte måleinstrumenter for måling av leveringskvalitet. Det er derfor grunnlag for å forvente at dette også vil være tilfelle og gjerne i kanskje enda større grad for målere som skal inngå i AMS-systemer da måling av spenningskvalitet er et relativt nytt område for disse leverandørene. En enkel stikkprøve foretatt av SINTEF Energiforskning har avslørt at det er til dels stort sprik mellom det man ut fra reklame og brosjyrematriell kan oppfatte at slike instrumenter kan måle av leveringskvalitet i forhold til hva instrumentene faktisk kan måle.

3. Forskningsoppgaver

WP11: Ønsket om å ta inn igjen WP11 medfører følgende oppgaver slik de var beskrevet i vår opprinnelige søknad: WP11 Effects on voltage quality of large and small scale integration of distributed generation and renewables. • To evaluate and estimate disturbance transmission from DGs and wind farms across

the energy system • Use distributed PQ measurements to determind transmission coefficients (through

transformers, propagation in the grids) to increase the knowledge concerning how e.g. wind farm "x" influence power quality at different busbars and supply terminals in the connected power system

Utvide WP9 og WP10: Likeså vil vi øke ambisjonsnivået på WP9 og WP10 slik at vi får gjort det vi opprinnelig søkte om, dette er spesielt interessant med hensyn til å integrere metoder og verktøy fra ulike andre prosjekter (RISK DSAM, verdiskapende vedlikehold og lignende) med det vi lager i dette prosjektet for leveringskvalitet. Innkjøp av ulike målere for testing: PQM-prosjektet ønsker også å gjennomføre en grundig objektiv analyse med tanke på funksjonalitet for måling av leveringskvalitet i kWh-målere som kan bli benyttet i fremtidige AMS-systemer hos europeiske nettselskaper. Brukergruppen i PQM-prosjektet (samt deltagere i parallelle AMS-prosjekter) har signalisert at en slik analyse vil være svært nyttig i arbeidet med full utbygging av AMS i Norge. En slik analyse vil også kunne bidra til å utvikle metoder for å samle inn og analysere korrekte leveringskvalitetsdata i stor skala på en mest mulig kostnadseffektiv måte, samt komme med innspill i prosessen med å bestemme hvilke krav som skal stilles til AMS-systemer med tanke på funksjonalitet for måling av leveringskvalitet. NVE holder nå i 2008 på med en vurdering av kWh-målere som skal inngå i et omfattende AMS-system. Vurderingene går på hvor mange målepunkter som eventuelt skal kunne måle spenningskvalitet i tillegg til forbruk (kWh) og her er det også viktig hvor bra kWh-målere kan foreta målinger av spenningskvalitet. Uttesting av PQ-målere i nettet: PQM-prosjektet ønsker å plassere ut flere måleinstrumenter på utvalgte steder i nettet for kontinuerlig måling av leveringskvalitet. Dette er viktig i arbeidet med å utvikle metoder for å håndtere store mengder avanserte måledata på en best mulig måte. Utvikling av

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kravspesifikasjon for PQ-databaser samt utvikling av metoder for håndtering av store mengder måledata inngår i prosjektplanen. (WP5, WP7). Installasjon av slike instrumenter i nettet vil gi svært viktige bidrag til dette og andre forskningsprosjekter i flere år fremover uten andre kostnader enn relativt lave kostnader knyttet til postprosessering av måledata. Måleinstrumentene som det søkes om midler for er unike og baserer seg på teknologi som ble tilgjengelig i 2007. SINTEF deltar, dog i begrenset grad i utviklingen av dette måleutstyret. En ny måte å komprimere måledata gjør at instrumentetet kontinuerlig kan måle og lagre alle perioder av spenning og strøm i alle faser med en samplingsrate på 512 eller 1024 samplinger per periode. Måleinstrumentene vil i de fleste tilfellene plasseres ut i områder med distribuert produksjon. Dette vil gi viktig underlag i arbeidet med WP9. Det er ønskelig å få plassert ut disse instrumentene så raskt som mulig for å opparbeide en viss størrelse på databasen med måledata i løpet av prosjektet. Det søkes om fullfinansiering for innkjøp av avanserte målere, tilhørende programvare, strømtenger for tilkobling i lavspenningsnett og kommunikasjonsutstyr for å plassere ut måleinstrumenter ved distribuerte produksjonsenheter uten kablet bredbåndstilknytning. Beløpet vil dekke innkjøp av følgende utstyr:

• 12-15 stk Elspec G4420 og G4430 • 25 strømtenger • 7 bredbåndsrutere

Utstyr Pris pr stk Totalt Elspec G4420/G4430 30 000/50 000 400 000 Strømtenger 3 500 87 500 Modem/ruter mobilt bredbånd 2 000 14 000 SUM 501 500 Produksjon av pilotserie av PQ-målere For å verifisere resultatene fra WP3 er det ønskelig å produsere noen pilotserier av de PQ-målerne vi har designet slik at vi får testet de ut skikkelig i laboratorietm, eventuelt også ved utplassering hos brukere. Testplattform for datainnsamling/lokal prosessering Dette er arbeid med spek, design og produksjon av en avansert plattform for bruk til datainnsamling og analyse av data samt presentasjon av resultater. Denne vil da kunne gjenbrukes og ”simulere” alle de typer PQ-målere vi vil ønske å teste ut før produksjon.

4. Metoder Dette er beskrevet i hovedsøknaden og er ikke endret siden da.

5. Prosjektorganisering Prosjektets organisering fungerer godt. Det gjennomføres internt, månedlige status- og oppfølgingsmøter og i tillegg oppdateres de eksterne partnerne med kvartalsvise statusrapporter og ellers i årlige workshops. Alle interesserte hos partnerne er også invitert inn i et ”prosjekthotell” der all relevant informasjon i prosjektet er gjort tilgjengelig.

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Konsortiet er utvidet siden oppstart med 3 nye partnere: NTE Nett AS, Istad Nett AS og NVE. Disse deltar med finansiering og har fått sin plass i ”Advisory Council”.

6. Internasjonalt samarbeid Samarbeidet med EDF R&D og den italienske regulatoren (AEEG) fungerer greit og er til stor nytte for prosjektet. Franskmennene kjører et parallelt prosjekt og er svært åpne for å utveksle informasjon og synspunkter. Det er nå planlagt en workshop sammen i Paris i juni 2008. Ellers deltar flere av prosjektmedlemmene i internasjonale fora som IEC TC8, Cenelec TC8 samt i flere relevante CIGRE arbeidsgrupper.

7. Fremdriftsplan med milepæler

Activity 2008 2009 2010 2011 1 Ta inn igjen

WP11

2 Utvide WP9+ WP10 til plan

3 Ulike kWh-mål ere til uttesting

4 kWh-målere ut i nett, dataanalyse

5 Produksjon av PQ-instrument

6 Etablering av testplattform

8. Kostnader per utførende partner

Kostnader hos SINTEF Energiforskning AS:

Utstyrskjøpene inkluderer kjøp av utstyret og den tid vi bruker samt kjøp av assistanse vi trenger for å få dette i en slik stand at det er klart for den forskningsoppgaven det er anskaffet for å utføre slik som beskrevet under punkt 3 ovenfor.

2008 2009 2010 2011 SUM Personal-og indirekte kostnader

1270 1270 1070 1170 4780

Utstyr – ulike kWh målere 200 200 Utstyr – et antall PQ-instrument

500 500

Utstyr – Produksjon pilotserier av eget instrument

50 200 150 100 500

Utstyr – Testplattform/lab 250 200 150 600 Andre kostnader Total 2270 1670

1370 1270 6580

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9. Finansiering per partner Tabellen nedenfor viser en finansieringsplan for tilleggsaktivitetene.

2008 2009 2010 2011 SUM Skagerak EBL Statnett Statkraft Norsk Hydro Hafslund Helgland kraftlag Lyse Nett Powel Istad Nett AS NTE Nett AS NVE Fra NFR til utstyr (100%) 1000 400 300 100 1800 Fra NFR (opptil opprinnelig søknadsbeløp)

1270 1270 1070 1170 4780

Total 262 1670

1370 1270 4572

Tabellen ovenfor viser de partnere som nå er med i prosjektet. Disse finansierer bruker- innsatsen som for det pågående prosjektet utgjør hele 49,8 % av en totalramme på 13,99 mill.kr. Dette ansees som en meget høy andel i en KMB. Vi søker nå om en økning av prosjektrammen som følger:

• Vi søker om en tilleggsbevilgning for 2008-2011 tilsvarende differensen mellom det opprinnelig søkte beløp fra Forskningsrådet og det vi reelt fikk bevilget. For de 4 årene utgjør dette 4,780 mill kr, vi har da ikke tatt med beløpet vi ”mistet” for 2007 (kkr 1050). Med denne økningen vil prosjektet fortsatt ha en så høy brukerfinansieringsandel som 37 % på forskningsarbeidet (6,9/18,7).

• Vi søker om en tilleggsbevilgning for utstyr med 100% finansiering fra Forskningsrådet. Til sammen utgjør denne 1, 8 mill kr for de 4 årene. Inklusive denne utstyrsbevilgningen vil KMB-prosjektet som helhet nå ha en totalramme på 20,5 mill kr med en brukerfinansiering på 33,6%. Økningen i totalrammen er på ca 46%, fra 13,99 mill kr til 20,51 mill kr.

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PART 2: Resultatutnyttelse

10. Relevans for kompetansefelt Dette er ikke endret i forhold til den opprinnelige søknaden og tilleggsbevilgningen vil eventuelt kunne gi prosjektet et ytterligere løft i forhold til de temaområder som er satt i fokus i ”Klimaavtalen”. Dette gjelder spesielt innen energieffektivisering og et energisystem for fremtiden. Dette at vi tar inn igjen WP11 med integrasjon av fornybare ressurser samt styrker WP9 og WP10 passer godt i dette bildet. Hovedtyngden av utstyrsinvesteringene vil kunne gjøres i 2008 og vi vil også ha muligheten for å starte opp “tilleggsarbeidet” så snart en eventuell bevilgning er klar.

11. Betydning for næringslivet Dette er heller ikke vesentlig endret fra den opprinnelige søknaden, men tilleggsaktivitetene vil kunne gi en betydelig merverdi for de deltagende bedrifter. For flere av dem har situasjonen med distribuert produksjon i nettet kommet nærmere og de begynner å få føling med problematikken rundt leveringskvalitet. Uttestingen av AMS-målere er også en tilleggsverdi av stor betydning. Her skal nettselskapene de kommende år investere store beløp og det er viktig for dem å velge målere med tilstrekkelig funksjonalitet. Utstyrskjøpene vil også gjøre at vi kommer betydelig lengre mot en god prototyp for et PQ-instrument som så i sin tur kan bli et nytt produkt for en norsk leverandørbedrift.

12. Utlysnings- og programrelevans Det pågående prosjektet hører hjemme innefor RENERGI. Også tillegget retter seg mot dette programmet og i tillegg mot de tema som er spesifisert i forbindelse med ”Klima-avtalen”. Dette gjelder som nevnt spesielt innen energieffektivisering og et energisystem for fremtiden. At prosjektet vil gi nettselskapene kompetanse til og et instrument for å ivareta leveringskvaliteten i det fremtidige distribusjonsnettet for elektrisitet vil være et viktg bidrag til samfunnet. På grunn av usikkerhet om finansieringen og forhandlingene med å tilpasse prosjektet til den bevilgningen som vi fikk i 2007, ble prosjektet noe forsinket i oppstarten, men er nå i meget godt gjenge. PhD-kandidaten vil starte sine studier fra juni i 2008 og prosjektet er bemannet med en fin blanding av erfarne seniorforskere og yngre forskere ved instituttet.

13. Miljøkonsekvenser De tilleggsaktiviteter som her er foreslått vil kun ha positive miljøeffekter.

14. Informasjon og resultatspredning Prosjektet følger sine opprinnelige planer med hensyn til informasjon- og resultatspredning. Allerede nå har prosjektet publiserert på flere konferanser (PMAPS, NORDAC, CIRED) og deltagelsen i de internasjonale arbeidsgrupper/komiteer gir også anledning til å informere fra prosjektet til et stort internasjonalt nettverk. I Norge ble det avholdt en workshop i 2007 med de norske brukerne og andre interessenter og dette vil bli gjentatt høsten 2008.