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Cooperative virtual power plant formation using scoring rules

Cooperative virtual power plant formation using scoring rules
Cooperative virtual power plant formation using scoring rules
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.
370-376
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Kota, Ramachandra
a2b6c536-fa54-4d9e-8f3d-c3fb66f79b86
Chalkiadakis, Georgios
50ef5d10-3ffe-4253-ac88-fad4004240e7
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Kota, Ramachandra
a2b6c536-fa54-4d9e-8f3d-c3fb66f79b86
Chalkiadakis, Georgios
50ef5d10-3ffe-4253-ac88-fad4004240e7
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30

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

Record type: Conference or Workshop Item (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.

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Accepted/In Press date: 22 July 2012
Published date: August 2012
Venue - Dates: Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12), Canada, 2012-07-22 - 2012-07-22
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 337074
URI: https://eprints.soton.ac.uk/id/eprint/337074
PURE UUID: 69c8f7aa-4340-4e8f-973b-771c4c18c7ff

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Date deposited: 17 Apr 2012 13:41
Last modified: 30 Sep 2019 19:09

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