计及储能与柔性负荷的虚拟电厂在电能量-调峰市场中的协同优化研究OA

To promote the deep integration of high-proportion renewable energy access with electricity market mechanisms,this paper proposes a multi-objective power-forecasting and optimal dispatch model for virtual power plants,targeting the current context of renewable energy market participation and coordinated,market-based regulation.Firstly,renewable energy consumption is introduced as an independent objective function,forming a tri-objective optimization framework together with the maximization of VPP profits and the minimization of electricity costs on the demand side.Secondly,the model comprehensively considers the dispatch characteristics and operational constraints of diverse resources,including wind power,photovoltaics,gas turbines,energy storage systems,and flexible loads.A source-load-storage coordinated control model is constructed,and market participation strategies are modeled by incorporating time-of-use electricity pricing and load response compensation mechanisms.Finally,an improved multi-objective Rime Optimization Algorithm is applied to a real-world VPP case in Northwest China.Simulation results show that the proposed model effectively enhances overall renewable energy consumption and achieves coordinated optimization of dispatch economy and system flexibility in a multi-market environment,verifying the model's feasibility and effectiveness under complex market mechanisms.