Capacity Configuration Optimization of Wind-Solar Combined Power Generation System Based on Improved Grasshopper Algorithm

作     者：Chunhui, Liang Chao, Ding Xiaoyang, Zuo Jinfa, Li Qing, Guo 

作者机构：School of Electrical and Information Engineering Changchun Institute of Technology Changchun130025 China National local joint Engineering Research Center for Measurement and Control and Safe Operation Technology of Intelligent Distribution Network Changchun130103 China Jilin Institute of Chemical Technology Jilin132022 China 

出 版 物：《SSRN》 

年 卷 期：2023年

核心收录：

主　　题：Wind power 

摘      要：In this paper, a wind-solar combined power generation system is proposed in order to solve the absorption problem of new energy power generation. Based on the existing installed capacity of local wind power, a concentrating solar power (CSP) station and its energy storage system are configured, and a two-layer capacity optimization allocation method considering the incentive user response is proposed. Firstly, a two-layer capacity optimization model considering incentive user response is established. Secondly, grasshopper optimization algorithm based on embedded spiral motion control strategy was used to solve the upper configuration model, and the lower scheduling model was solved by Cplex solver. Finally, three typical scenarios are set up for simulation, and the wind power, CSP and energy storage configuration capacity are respectively given in different scenarios. The simulation results show that the addition of a CSP station can effectively improve the absorption capacity of local wind power generation system and reduce the amount of wind abandonment. The capacity optimization allocation method proposed in this paper can effectively alleviate the load peak demand, improve the optimization allocation model of wind-solar combined power generation system, make the configuration results more reasonable, and improve the economy of the system. © 2023, The Authors. All rights reserved.