Optimization Strategy for Collaborative Market Participation of Photovoltaic Prosumers and Shared Energy Storage Based on Nash Bargaining

The paper focuses on the energy consumption challenges brought about by the rapid development of distributed photovoltaics (PV). From the distribution electricity market perspective, the paper emphasizes the scenario where distributed photovoltaics with energy storage participate in market transactions. The paper proposes a multi-prosumers and shared energy storage alliance model based on peer-to-peer energy trading to address this. The consumption benefit of the alliance is incorporated into its cost-benefit function. And the alliance's collaborative optimization model in the market is constructed. The Nash bargaining method is employed to refine the model to ensure the feasibility of market transactions. To highlight the role of shared energy storage in alliance collaboration, a two-stage asymmetric Nash bargaining method is used for energy sharing in the model design. At the same time, the paper considers data privacy and security for the alliance participants, employing an improved alternating direction multiplier method for distributed solving. The effectiveness of the model is verified through a case study. The results indicate that the optimized model for the collaborative participation of alliance in market transactions, as proposed in this paper, is a viable approach for distributed photovoltaics to participate in the electricity market. It offers economic cost advantages and promotes the local consumption of distributed clean energy.