Research on Optimization of Virtual Power Plant Operation Mode and Profit Calculation

In order to improve the consumption level of distributed new energy, reduce the construction cost of power sources, improve energy utilization efficiency, and maximize the value of virtual power plants, a virtual power plant will be constructed with wind power suppliers, photovoltaic suppliers, energy storage suppliers, and controllable load suppliers as the main beneficiaries to participate in electricity trading. Firstly, construct an optimal operating mode model for virtual power plants that considers typical daily patterns; Secondly, the model is solved using a combination of particle swarm optimization algorithm and commercial solvers; Based on the optimal operating mode obtained through model solving, the Shapley value method is improved with risk preference, cooperation willingness, and participation level as factors, and a profit correction model is established; Finally, the feasibility and applicability of the established model and method are verified through numerical simulations and result analysis.