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Towards a Smarter Grid: A Control Perspective

Towards a Smarter Grid: A Control Perspective. Professor, PhD, Jakob Stoustrup Department of Electronic Systems, Automation & Control es.aau.dk/staff/jakob Aalborg, Oct. 4, 2012. Why we need smart grid control…. Why we need new ctrl. architectures…. Why we need short term control….

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Towards a Smarter Grid: A Control Perspective

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  1. Towards a Smarter Grid: A Control Perspective Professor, PhD, Jakob Stoustrup Department of Electronic Systems, Automation & Control es.aau.dk/staff/jakob Aalborg, Oct. 4, 2012

  2. Why we need smart grid control…

  3. Why we need new ctrl. architectures…

  4. Why we need short term control…

  5. Virtual Power Plants

  6. Hierarchical control of distributed energy resources

  7. Ctrl of distributed energy resources

  8. Imbalance mitigation by DER ctrl

  9. Examples of Smart Grid Projects@ Dept. Electronic Systems, Automation & Control • EDGE • SmartC2Net • IVIP • iPower • Smart & Cool • Market Integration of Virtual Power Plants

  10. EDGE: System Reserves

  11. EDGE

  12. SmartC2Net • Enable robust smart grid control utilizing heterogeneous third-party communication infrastructures Challenges • Variable communication network performance • caused by variable traffic load and accidental faults • affecting quality of input data and timeliness of control actions • Security threats • due to additional network interfaces and • the use of off-the-shelf communication technology

  13. SmartC2Net Consortium 8 partners from 6 European countries (AT, DK, GE, IT, PT, NL) + Expert Advisory Board (5 DSOs)

  14. IFIV: Remote control of heat pumps for smart grid purposes • Purpose: to moveconsumptionaccording to wind power production. • Elspotprices and wind power productioncorrelates. • Balance Responsible Party (BRP) optimizeElspotpurchasebased on • Elspotpriceestimates • Weatherforecast • House parameters The BRP controls the individual heat pumps. For eachhour an amount of energy is bought in advance. Each house is controlled by the VPP in orderkeep the house temperature within a predefined band using the boughtenergy. The VPP calculates the possibleregulating power eachhour.

  15. Results Tested on 6 inhabited single family houses. Results for one house 18-19 April 2012 is shown. Spot plan power is the purchasedenergy for the house. Active plan power is the real time control signal to the house. Heat pump power is measured power from the heat pump. It is seenthat the active plan is approximately the same as the spot plan power. The room temperature is within the comfortbounds. A lowthresholdvalue on the heatedwater tank temperature forces additional heat pump starts.

  16. Participants(opening) Total 35 Partners ( 32 Legal entities) 22 Industrial companies • 9SMV’s : (Develco Products, ENFOR Greentech Solutions, QEES, Greenwave Reality, Zense Technology, Nilan, Saseco) • 6 following companies : ( Electronic Housekeeper, Gridmanager, KPMG, Lodam Electronics, NeoGrid Technologies, Vestfrost Solutions) • 8 Large companies : DONG, Danfoss, Grundfos, Vestas, IBM, NEAS (Nordjysk Elhandel), COWI, Balslev 10 Universities and Recognized institutes • 4 Danish : AAU ( Allborg University), DTI (Teknologisk Institut), DSKD (Kolding Designskole), DTU (Risoe, CET, IMM, MAN) • 5 International : (Lund, Dublin, Illinois, Berkley, National Consumer Research Center -Finland) • 1 Organization : DE (Dansk Energi - DEFU)

  17. Project Packages overview Platform Management Anders Troi WP 0 • Basic research • Business research • IPR driven research • Test and demonstration • Networks • Business models Jacob Østergaard Frank Elefsen Domestic Demand Response WP 1 Industrial Demand Response WP 2 Distribution Grid Operation WP 3 Control and Market Operation WP 4 Socio-economic and Investor Evaluation WP 5 Consumer Behaviour WP 6 Information Sharing Platform WP 7

  18. Smart & Cool: Adaptive balancing of consumption in supermarkets The overall goal of the project is to allow an increase in penetration of wind energy in the power grid. This will be realized by the optimal distribution of consumption in refrigeration systems and electricity production. • Participants: • DONG Energy • Danfoss • DTUIMM • AAU, ES, Automation & Control • KVCA • Size: • 4 PhD students

  19. flexibility in energy consumption (cool) - at AAU flexibility in consumption and production (cool-smart) - at DTU flexibility in energy production and consumption (smart-cool) - at AAU flexibility in energy production (smart) - at AAU 4 PhD students

  20. Market Integration of Virtual Power Plants • Industrial PhD student: Mette Kirschmeyer Petersen • Partners: DONG Energy, Aalborg University Challenge: how to aggregate distributed energy resour-ces optimally

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