The PQM project CLIENT S REF. Frank Nilsen PROJECT NO. CLASSIFICATION PROJECT MANAGER (NAME, SIGN.) NO.

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1 TITLE PROJECT PLAN The PQM project SINTEF Energy Research Address: NO-7465 Trondheim, NORWAY Reception: Sem Sælands vei 11 Telephone: Telefax: 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. Enterprise No.: NO MVA Frank Nilsen BUDGET NOK (TOTAL) DATE REVISED PER PROJECT NO. CLASSIFICATION PROJECT MANAGER (NAME, SIGN.) NO. OF PAGES Open Kjell Sand 30 ELECTRONIC FILE CODE Knut Samdal PROJECT RESPONSIBILITY (NAME, SIGN.) START DATE TERMINATION RESEARCH DIRECTOR (NAME, SIGN.) Petter Støa DIVISION LOCATION LOCAL FAX Energy systems Sem Sælands vei This project plan focus on the project activities in 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. All rights reserved SINTEF Energy Research. The present documentation and its basic ideas may not be used by anyone or be handed over to a third-party without SINTEF Energy Research s prior written approval

2 2 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

3 3 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

4 4 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 Helge Seljeseth large amounts of QS data 8 Establish adequate models for simulation of quality of Kjell Sand supply indices in typical existing networks for high-priority QS phenomena 9 Development of methods for prediction of QS indices in Kjell Sand future supply situations 10 Integration of the new QS concept and tools with utility Kjell Sand framework for Asset Management decision-making 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 Tarjei Solvang generation and new renewables 15 Purchase of technical equipment Test platform kwh testing Tarjei Solvang

5 5 Key activities 2009 WP Activities 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 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 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

6 6 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 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

7 7 15 Purchase of technical equipment Test platform kwh testing Pilot series PQM instrument Test platform laboratory investments kwh meters PQ capability testing BUDGET WP Activities SUM SUM Project management QS needs and options Description of overall QS management concept Measurement hardware development Local Measurement analysis package Utility PQ database management PQ metering chain verification Development and implementation of methods for analysis of large amounts of QS data Establish adequate models for simulation of quality of supply indices in typical existing networks for high-priority QS phenomena 9 Development of methods for prediction of QS indices in future supply situations 10 Integration of the new QS concept and tools with utility framework for Asset Management decision-making PhD Dissemination and exploitation of results International activity and cooperation Effects on voltage quality of integration of distributed generation and new renewables Purchase of technical equipment

8 8 FINANCING Organisation SUM Skagerak EBL Statnett Statkraft Hydro Hafslund Helgeland Lyse Powel NTE Istad NVE SINTEF NFR NFR Additional SUM NFR %

9 9 WORK SCHEDULE/REPORTING WP WP0 Project management Activities Project management, planning and follow-up Project status reporting including Research Council reporting Advisory Council Meetings Project Workshop T1 T2 T3 T1 T2 T3 T1 T2 T3 WP1 QS needs and options WP2 Description of overall QS management Completed in December 2008 Description of overall requirements and specification of interfaces and concept element integration for QS management concept concept Reporting D2.1 WP3 Measurement hardware development WP 4 Local Measurement analysis package WP5 Utility PQ database management WP6 PQ Metering Chain Verification WP7 Development and implementatio n of methods for analysis of large amounts of QS data 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 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. Reporting D4.1 D4.2 Specification of functional requirements Evaluation of existing solutions and identification of needed improvements Reporting D5.1 D5.2 Design verification specification Practical tests 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 Reporting D7.1 D7.2

10 10 WP WP 8 Establish adequate models for simulation of quality of supply indices WP 9 Development of methods for prediction of QS indices WP 10 Integration of the new QS concept WP 11 PhD WP 12 Dissemination and exploitation of results WP 13 - International activity and cooperation 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 Reporting D8.1 D8.2 D8.3 Description of issues, problems, concepts for quality of supply prediction 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 Reporting D10.1 D10.2 D10.3 PhD Study Dissemination and exploitation of results (Papers, eroom, etc.) 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

11 11 WP WP 14 Effects on voltage quality of integration of distributed generation and new renewables WP 15 Purchase of technical equipment Test platform kwh testing Activities Deployment of advanced PQ measurement devices Establish routines for automatic gathering of measured data to central PQ database T1 T2 T3 T1 T2 T3 T1 T2 T3 Analysis of selected phenomena Reporting D14.1 D14.2 D14.3 D14.4 Purchase Pilot series PQM instrument Test platform laboratory investments kwh meters PQ capability testing Reporting D15.1 Deliverables: WP 2 WP 3 WP 4 WP 5 WP 6 WP 7 WP 8 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 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 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 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 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 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 D8.3: Technical report containing a road map for simulation tools development or simulation tools implementation

12 12 WP 9 WP 10 WP 14 WP 15 D9.1: Project memo describing issues, problems, concepts for quality of supply prediction 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 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 D14.4: Technical report describing effects on voltage quality of integration of distributed generation and new renewables based on measurement results and literature surveys D15.1: Technical report with results from testing of energy meters with PQ measurement capability *) Bold shall be delivered in 2009

13 13 APPENDIX I ORIGINAL PROJECT APPLICATION

14 14 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 Partial goals Detailed design and production of a 0- series (50 units) of a new low cost PQ measurement instrument (SINTEF Energy Research patent) Development of PQ measurement instrument local software Deployment of the 50 units in typical supply situations Development of PQ measurement repository (PQ database) Measurement concept testing and verification (in situ tests) Create a platform for industrialization of the new measurement and service concept 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. Develop a new holistic concept for quality of supply management, leading to enhance present quality of supply documentation and measurement processes 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. 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 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 Competence building through PhDcandidate in the field of quality of supply simulation or power quality measurement, diagnosis and signal analysis.

15 15 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.

16 16 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...)

17 17 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 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

18 18 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, P st, P lt etc. If it is necessary to develop prototypes for the local instrument software, this will done by using Matlab

19 19 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 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.

20 20 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 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 SUM Personnel- and indirect cost Equipment Other costs Total 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) SUM Personnel- and indirect cost Equipment Other costs 100* 100 Total *) Extra costs due to one year stay with EdF R&D in France.

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