AIMANov 26, 2019

Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives

arXiv:1911.12303v172 citations
Originality Incremental advance
AI Analysis

This addresses the problem of decentralized energy management for prosumers in residential cooperatives, offering an incremental improvement by automating negotiations without central coordination.

The paper tackles automated peer-to-peer negotiation for energy contract settlements in residential cooperatives, showing that the proposed strategy increases system efficiency (utilitarian social welfare) and fairness (Nash social welfare) over baseline and status quo strategies in empirical evaluations using real demand, generation, and storage profiles.

This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteria and the prosumers' private preferences over those criteria. The prosumers engage in bilateral negotiations with peers to mutually agree on periodical energy contracts/loans consisting of the energy volume to be exchanged at that period and the return time of the exchanged energy. The negotiating prosumers navigate through a common negotiation domain consisting of potential energy contracts and evaluate those contracts from their valuations on the entailed criteria against a utility function that is robust against generation and demand uncertainty. From the repeated interactions, a prosumer gradually learns about the compatibility of its peers in reaching energy contracts that are closer to Nash solutions. Empirical evaluation on real demand, generation and storage profiles -- in multiple system scales -- illustrates that the proposed negotiation based strategy can increase the system efficiency (measured by utilitarian social welfare) and fairness (measured by Nash social welfare) over a baseline strategy and an individual flexibility control strategy representing the status quo strategy. We thus elicit system benefits from peer-to-peer flexibility exchange already without any central coordination and market operator, providing a simple yet flexible and effective paradigm that complements existing markets.

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