Ahead of Print article · Journal article
Scaling Up Cooperative Game Theory Based Energy Management using Prosumer Clustering
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3
University of Edinburgh4
University of Oxford5
Game theory based energy sharing schemes emerged in recent years to incentivize efficient management of the increasing amount of distributed energy resources. Among these, cooperative game theoretic schemes provide detailed financial incentives on the individual prosumer level. The nucleolus, a mechanism to allocate these financial incentives, has been proven to guarantee the prosumers’ willingness to participate.
However, the computation time of the nucleolus increases exponentially with the number of participants, strictly limiting the size of this scheme. This study proposes to incorporate clustering techniques to estimate the nucleolus at reduced computation times, where a novel marginal contribution profile is used as the clustering features.
A stratified random sampling based approach is formulated to evaluate the estimation performance, showing that the proposed method is able to scale up the cooperative energy management scheme from less than 15 players to over 100 players while maintaining high accuracy of the nucleolus estimation.
Language: | English |
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Publisher: | IEEE |
Year: | 2021 |
Pages: | 289-300 |
ISSN: | 19493053 and 19493061 |
Types: | Ahead of Print article and Journal article |
DOI: | 10.1109/TSG.2020.3015088 |
ORCIDs: | Han, Liyang |