Cooperative virtual power plant formation using scoring rules


Robu, Valentin, Kota, Ramachandra, Chalkiadakis, Georgios, Rogers, Alex and Jennings, Nicholas (2012) Cooperative virtual power plant formation using scoring rules At AAAI-12: Twenty-Sixth Conference on Artificial Intelligence. 22 - 26 Jul 2012. , pp. 370-376.

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Description/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.

Item Type: Conference or Workshop Item (Paper)
Venue - Dates: AAAI-12: Twenty-Sixth Conference on Artificial Intelligence, 2012-07-22 - 2012-07-26
Organisations: Agents, Interactions & Complexity
ePrint ID: 337074
Date :
Date Event
22 July 2012Accepted/In Press
August 2012Published
Date Deposited: 17 Apr 2012 13:41
Last Modified: 17 Apr 2017 17:19
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/337074

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