Combining photovoltaic(PV) with concentrated solar power(CSP) can improve the shortcomings of low PV reliability and high CSP cost. A multi-objective capacity optimization method for PV-CSP hybrid system is proposed to search for the optimal compromise solution between economy and power supply reliability. The main components capacities of a PV-CSP hybrid system located in Zhangbei are optimized and the Pareto optimal schemes are obtained. Then

the optimal compromise solution is obtained by the ideal point method. Moreover

the influence of the change of electric load and capacity parameters on the system capacity optimization results and performance is studied through sensitivity analysis. The results show that

when the solar multiple

electric heater rated power

thermal energy storage capacity

PV installed capacity and battery capacity are 2.5

74 MW

20 h

82 MW and 0

the hybrid system has an optimal compromise solution

and the corresponding levelized cost of energy(LCOE) and loss of power supply probability(LPSP) are 1.06 yuan/(kW·h) and 5.57%

respectively. In addition

sensitivity analysis is conducted to study the impact changes in electrical load and capacity parameters on the capacity optimization results and performance of the hybrid system.