大规模风光储场站群功率跟踪优化控制实时仿真OA北大核心CSTPCD

Wind-photovoltaic-storage power station clusters will become the typical form of power source in new electrical systems with the goals of"carbon peaking and carbon neutrality."Power tracking control is a fundamental capability required for grid integration.Based on this,we propose a power-tracking optimization control strategy that considers the lifespan degradation of the energy storage along with a closed-loop simulation method.First,a simulation platform,based on a hardware-in-the-loop real-time digital simulator(RTDS),was constructed using a large-scale wind-photovoltaic-storage power station cluster demonstration project in a certain area as the simulation object.Next,a refined degradation model for the energy storage lifespan was established considering the impact of its operational state.Furthermore,a power allocation strategy based on energy storage lifespan degradation and a command-tracking strategy based on the real-time compensation of energy storage are proposed.Finally,the effectiveness and robustness of the proposed control strategies are verified through closed-loop simulation tests covering different operating conditions and time scales.