A hydropower-photovoltaic-pumped hydro storage complementary generation system is proposed to solve the challenge of high uncertainty of photovoltaic. The complementary generation system takes the use of the complementarity between hydropower and photovoltaic power generation to compensate for intermittent characteristics of photovoltaic power generation. And a pumped-storage power station is equipped to stabilize the photovoltaic output fluctuation

and to improve photovoltaic energy consumption at the same time. NSGA-II is used to solve the problems of multi-objective optimization of distributed photovoltaic power generation site selection and capacity of pumping storage station. In the end

the TOPSIS algorithm is used to screen out the optimal solution. The analysis of the optimal solution proves that this planning process is practical.