Multi-goal optimization in powermatching city : a smart living lab
ConferentiebijdrageWijbenga, J.P., MacDougall, P., Kamphuis, I.G., Sanberg, T., Noort, van den, A. & Klaassen, E.A.M. (2014). Multi-goal optimization in powermatching city : a smart living lab. Proceedings of the 5th IEEE PES Innovative Smart Grid Technologies Europea (ISGT Europe), 12-15 October 2014, Istanbul, Turkey (pp. 1-5). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). In Scopus Cited 4 times.
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Whereas other smart grid field trials optimize for a single objective, PowerMatching City phase 2 demonstrates that multiple objectives can be achieved in a coordinated virtual power plant. A system that incorporates both consumer community proposition incentives and trade dispatch incentives (as well as end-user comfort) was designed, implemented and tested. This paper describes the design approach and the main findings in this real life field trial. The multi-goal approach showed to be successful, as the individual goals were achievable by the cluster. To prevent a single goal from overpowering the other objective limitations and a flexibility-balancing component were implemented. Finding the optimal mix of balancing the components and utilizing the most of the flexibility requires additional research.