Abstract: Integrating wind and solar renewable energy into traditional water pumping station systems presents a viable approach to reducing carbon emissions. To explore the application of wind and solar energy in such systems, a water pumping station of wind-photovoltaic (PV) complementary system was introduced. 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. Taking the Lijiazhuang water pumping station in Xinzhou City, Shanxi Province as a case study, the effectiveness of these models was validated. The results indicate that as the proportion of PV capacity increases, the average peak-valley difference in daily wind-PV output initially decreases and then rises again. Based on the principle of minimizing annual fluctuations in wind-PV output, the optimal PV capacity ratio was determined to be 0.324. Additionally, as the annual water supply increases, annual wind-PV electricity curtailment follows a similar trend of initial decline followed by growth. The optimal installed capacities for wind and PV at the Lijiazhuang pumping station were identified as 1 622.4 kW and 777.6 kW, respectively. The primary cause of wind-PV electricity curtailment is that it is hard to run the pumping station in a minimum power by using renewable energy alone. These findings provide valuable theoretical insights for optimizing wind-PV capacity configurations in wind-PV complementary pumping station systems.