A pricing game strategy with virtual prosumer guidance in community grid

Author:

Hu Qihao12ORCID,Chi Ming12,Liu Zhi‐Wei12ORCID

Affiliation:

1. School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

2. Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology Ministry of Education China

Abstract

AbstractThe peer‐to‐peer (P2P) energy trading model is considered to be one of the appropriate models for managing local energy trading in community grids. But free pricing mechanisms can lead to energy wastage and long response times. In order to facilitate the local consumption of renewable energy within the community, this paper proposes a pricing game strategy with virtual prosumer (VP) guidance on a P2P energy market model in community grid. To prevent market disruption caused by free pricing strategies in the P2P market and ensure the overall social benefit of the community, a VP controlled by the community microgrid manager is introduced to regulate the energy trading of the entire community. A novel and efficient prosumer trading model is proposed where the VP changes its pricing strategy to guide other prosumers to achieve Nash equilibrium and improve the internal consumption rate of new energy in the community. The proposed strategy's rationality and effectiveness are verified through case studies.

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

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