Prof Wil L Kling

Topic: Agent-based Control of Power Systems

Abstract: Socio-economical and technological developments have prompted electric power systems to move forward to an era of Smart Grids. This transition requires a change in controlling and operating structure to adapt to the variability of the myriad of small-scale generation and controllable loads. By deploying artificial intelligence into distributed system operation, the agent-based approach is an appropriate technology to handle the complexity and can enhance system performance.
This session will highlight experiences and knowledge for development and implementation of the multi-agent system (MAS) technology in facilitating control and operation of Smart Grids. Different issues will be explored on the following aspects:

• Ulf Häger (TU Dortmund): Agent-based real-time coordination of Power Flow Controllers in Transmission Networks
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The use of Power Flow Controllers (PFC) becomes more and more important for transmission system operators (TSOs) to increase transmission capability of their grids and make them more controllable. Nowadays optimization of PFC set-points is only carried out during the day-ahead planning process. In real-time operation the coordination of PFC is done manually by telephone communication of the involved TSOs. An Agent-based method will be presented to carry out distributed automatic real-time coordination of PFC without the need for centralized data about the state of the power system devices. This method allows for immediate reaction on power flow changes and is able to react stabilizing during emergency situations.

• Geert Deconinck (K.U.Leuven): Agent-based coordination for electric vehicles charging
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For a case of charging electric vehicles in distribution grids, a decentralised and hierarchic coordination mechanism allows a better distribution of peak power requirements over time, and takes dynamic changes into account in a scalable way.

• Stamatis Karnouskos (SAP Research): Interacting with the SmartGrid
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Envisioned smartgrid energy markets as well as demand-response approaches rely on the active participation of the prosumer. It is expected that intelligent agents act on behalf of the prosumer and in conjunction with enterprise system services realize the smartgrid vision e.g. manage his devices, enable buying and selling of electricity at energy marketplaces etc. EU co-funded projects such as SmartHouse/SmartGrid (www.smarthouse-smartgrid.eu) and NOBEL (www.ict-nobel.eu) offer examples how they can be used.

• Phuong H. Nguyen (TU/e): Agent-based Power Routing in Active Distribution Networks
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The future network must be able to manage power flow in a bidirectional way, cope with uncertainties of renewable power generation and adjust to demands of more sophisticated customers. A so-called agent-based distributed power routing function will be presented to handle the tasks.

Affiliation: Eindhoven University of Technology | Professor and chair of Electrical Power Systems Group

Biography: Wil L. Kling received the M.Sc. degree in electrical engineering from the Eindhoven University of Technology, the Netherlands, in 1978. From 1978 to 1983 he worked with Kema, from 1983 to 1998 with Sep and since then up till the end of 2008 he was with TenneT, the Dutch Transmission System Operator, as senior engineer for network planning and network strategy. Since 1993 he is a part-time Professor at the Delft University of Technology and since 2000 also at the Eindhoven University of Technology, the Netherlands. From December 2008 he is appointed as a full professor and chair of Electrical Power Systems Goup at the Eindhoven University of Technology.

He is leading research programs on distributed generation, integration of wind power, network concepts and reliability issues.

Mr. Kling is involved in scientific organizations such as Cigre and IEEE. He is the Dutch Representative in Study Committee C6 Distribution Systems and Dispersed Generation and the Administrative Council of Cigre.

Email: w.l.kling@tue.nl

Address: Eindhoven, Netherlands

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