Abstract: 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.