Fair Energy Allocation in Risk-aware Energy Communities
Eleni Stai, Lesia Mitridati, Ioannis Stavrakakis, Evangelia Kokolaki,, Petros Tatoulis, Gabriela Hug

TL;DR
This paper presents a decentralized game-theoretic mechanism for fair and efficient renewable energy allocation in energy communities, accounting for consumer risk attitudes and outperforming naive sharing policies.
Contribution
It introduces a novel non-cooperative game model with a decentralized algorithm for energy sharing, deriving equilibrium strategies and analyzing social cost impacts.
Findings
Nash equilibrium existence and closed-form demand expressions
Decentralized algorithm effectively finds equilibrium strategies
Proposed policy reduces social cost compared to naive sharing
Abstract
This work introduces a decentralized mechanism for the fair and efficient allocation of limited renewable energy sources among consumers in an energy community. In the proposed non-cooperative game, the self-interested community members independently decide whether to compete or not for access to RESs during peak hours and shift their loads analogously. In the peak hours, a proportional allocation (PA) policy is used to allocate the limited RESs among the competitors. The existence of a Nash equilibrium (NE) or dominant strategies in this non-cooperative game is shown, and closed-form expressions of the renewable energy demand and social cost are derived. Moreover, a decentralized algorithm for choosing consumers' strategies that lie on NE states is designed. The work shows that the risk attitude of the consumers can have a significant impact on the deviation of the induced social cost…
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Taxonomy
TopicsSmart Grid Energy Management · Electric Vehicles and Infrastructure · Electric Power System Optimization
