Cooperative virtual power plant formation using scoring rules
OA Location
Author(s)
Robu, Valentin
Kota, Ramachandra
Chalkiadakis, Georgios
Rogers, Alex
Jennings, Nicholas
Type
Conference Paper
Abstract
Virtual Power Plants (VPPs) are fast emerging as a suitable means of integrating small and distributed energy resources (DERs), like wind and solar, into the electricity supply network (Grid). VPPs are formed via the aggregation of a large number of such DERs, so that they exhibit the characteristics of a traditional generator in terms of predictability and robustness. In this work, we promote the formation of such "cooperative" VPPs (CVPPs) using multi-agent technology. In particular, we design a payment mechanism that encourages DERs to join CVPPs with large overall production. Our method is based on strictly proper scoring rules and incentivises the provision of accurate predictions from the CVPPs—and in turn, the member DERs—which aids in the planning of the supply schedule at the Grid. We empirically evaluate our approach using the real-world setting of 16 commercial wind farms in the UK. We show that our mechanism incentivises real DERs to form CVPPs, and outperforms the current state of the art payment mechanism developed for this problem.
Date Issued
2012-07
Citation
2012, pp.370-376
Start Page
370
End Page
376
Identifier
http://eprints.soton.ac.uk/337074/
Source
AAAI-12: Twenty-Sixth Conference on Artificial Intelligence
Publication Status
Unpublished