Operation Optimization Model for Photovoltaic User Group with Shared Storage and Demand Response

In recent years, with the increase of the penetration of distributed photovoltaics in the power system, the problems of power fluctuations have increased. The corresponding application of the demand side response has played a positive role in the stability and economy of the power system. First of all, a cost model related to the system net load and energy storage is proposed, which is based on the policy support and the recent technology of distributed photovoltaic in China. Secondly, an optimal operation model for photovoltaic user group with shared energy storage considering automatic demand response is proposed based on game theory and it is proved to have a unique Nash equilibrium strategy. The process of solving the Nash equilibrium strategy is equivalent to a two-level optimization model, and the solving method is proposed based on a differential evolution algorithm. Finally, a practical example is used to verify the effectiveness of the model in reducing user costs and optimizing load characteristics.