Multi-Goal Optimization in PowerMatching City: A Smart Living Lab
conference paper
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 thecomponents and utilizing the most of the flexibility requires additional research.
Topics
TNO Identifier
517628
Publisher
IEEE
Source title
IEEE Innovative Smart Grid Technologies Europe, ISGT 2014, 12-15 October 2014, Instanbul, Turkey
Place of publication
Piscataway, NJ