Abstract: With the increasing integration of renewable energy into power systems, the volatility and uncertainty of wind and photovoltaic (Wind-PV) outputs pose significant challenges to power system operation. To address the problems of insufficient dynamic adaptability and scenario responsiveness in existing multi-energy complementary scheduling strategies, a short-term optimal scheduling strategy for wind-photovoltaic-thermal-battery energy storage system (Wind-PV-Thermal-BESS) based on rolling weight updates was proposed. By constructing a multi-scenario weighted objective function and incorporating a dynamic weight adjustment mechanism, the model achieves coordinated optimization of minimizing thermal power generation costs and maximizing Wind-PV energy utilization. Simulation results based on an actual energy base show that the proposed strategy takes into account both economy and stability in the optimal scheduling of Wind-PV-Thermal-BESS. Under the normal output, high-output and low-output Wind-PV scenarios, the wind curtailment costs and the total system operating costs are decreased by 1.16%-75.52% and 0.02%-2.78% respectively.