Abstract: Integrating wind and solar renewable energy into traditional pumping station systems presents a viable approach to reducing carbon emissions. To explore the application of wind and solar renewable energy in the traditional pumping station system, this study introduces a wind-photovoltaic (PV) complementary pumping station system. A single-objective model for determining the optimal wind-PV capacity ratio and a multi-objective model for configuring the wind-PV capacity were developed. The effectiveness of these models was validated using the Lijiazhuang pumping station in Xinzhou City, Shanxi Province as a case study. Results indicate that as the PV capacity proportion increases, the average peak-valley difference in wind-PV daily output initially decreases before rising again. Based on the principle of minimizing fluctuations in wind-PV output over the year, the optimal PV capacity ratio was determined to be 0.324. Additionally, as annual water supply increases, annual wind-PV electricity curtailment follows a similar trend of initial decline, followed by subsequent growth. The optimal installed capacities for wind and PV at the Lijiazhuang pumping station were identified as 1622.4 kW and 777.6 kW, respectively. The primary cause of wind-PV electricity curtailment was found to be the difficulty in maintaining the minimum operational power requirements of the pumping station using renewable energy alone. These findings provide valuable theoretical insights for optimizing wind-PV capacity configurations in complementary pumping station systems.