Multi-Goal Optimization in PowerMatching City: A Smart Living Lab
van den Noort, A.
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.
Communication & Information
To reference this document use:
ISEC - Information Security ; SEM - Service Enabling & Management
TS - Technical Sciences
Energy / Geological Survey Netherlands
Virtual power plant
IEEE, Piscataway, NJ
IEEE Innovative Smart Grid Technologies Europe, ISGT 2014, 12-15 October 2014, Instanbul, Turkey