Abstract: Sequential power generation simulations play a critical role in the capacity configuration of hydroelectric-thermal-wind-photovoltaic-storage multi-energy complementary systems. In practice, 8760-hour system operation are hard to simulate directly using an optimization model because of its large scale. In this paper, a new time-scale decomposing technique is developed to solve this problem and realize the accurate simulations of 8760-hour system operation. Based on this, a two-stage optimization model is constructed for capacity configuration of a grid-connected multi-energy complementary system that comprises thermal power, hydropower, wind, photovoltaic, pumped-storage, and electrochemical energy storage. This new model was applied to the Qinghai power grid and achieved an optimized configuration of the system’s capacity of wind, photovoltaic, and pumped-storage.

Key words: hydroelectric-thermal-wind-photovoltaic-storage multi-energy complementary system, capacity configuration, sequential power generation simulation, two-stage optimization, power generation optimization scheduling