Capacity configuration and economic analysis of integrated wind–solar–thermal–storage generation system based on concentrated solar power plant

Abstract

As the proportion of wind and photovoltaic power plants characterized by intermittency and volatility in the electric power system is increasing continuously, it restricts the development of renewable energy at a higher proportion and a larger scale. CSP has the dual functions of peak-regulating power supply and energy storage, which can provide important support for grid access and power regulation for renewable energy power. In this study, the capacity configuration and economy of integrated wind–solar–thermal–storage power generation system were analyzed by the net profit economic model based on the adaptive weight particle swarm algorithm. A case study was conducted on a 450 MW system in Xinjiang, China. The effects of heat storage capacity, capacity ratio of wind power and photovoltaic to molten salt parabolic trough power generation on the economy of the integrated power generation system were obtained under the condition that the system output should meet the power load. The results show that when the capacity ratio is fixed and the heat storage capacity increases, the net profit of the system increases first and then decreases. When the heat storage capacity is fixed, the net profit of the system increases with the increase of the capacity ratio, but when the capacity ratio exceeds 5:1, the upward trend is gradually slowed down. When there are different heat storage capacities and capacity ratios, the lowest peak-shaving electricity prices corresponding to the net profit break-even point of the integrated system are obtained.