Optimal Scheduling of Wind Solar Thermal Storage Combined Power Generation System Based on Chimp Algorithm

In order to improve the economic benefit of wind solar thermal storage combined power generation system, reduce the amount of wind and solar energy abandoned, to yield maximum revenue of the combined power generation system, based on fully considering the system constraints, it established the model of wind solar thermal storage combined power generation system, and used the COA (Chimp Optimization Algorithm) to solve the scheduling model. The model was applied to the optimal scheduling of a combined power generation system in southwest China. The results showed that the COA could increase the output of wind and light, improve the economic benefit of the combined power generation system, and reduce the impact on the environment. By comparing COA with GWO, PSO and GA, its convergence algebra, calculation time and maximum generation income were superior to other comparison algorithms, which verified the advantages of COA in the optimal scheduling of combined power generation system.