Capacity configuration optimization of wind-solar combined power generation system based on improved grasshopper algorithm

• Published in: Electric power systems research Vol. 225; p. 109770
• Main Authors: Liang, Chunhui, Ding, Chao, Zuo, Xiaoyang, Li, Jinfa, Guo, Qing
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2023
• Subjects: Combined wind and CSP system; Concentrating solar power (CSP) station; Double-layer capacity optimization configuration; Grasshopper optimization algorithm (GOA); Wind power; Grasshopper optimization algorithm (GOA); Wind power; Concentrating solar power (CSP) station; Combined wind and CSP system; Double-layer capacity optimization configuration
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2023.109770

•The introduction of CSP power stations in wind power generation means to improve the absorption capacity of wind power generation by means of energy complementarity and balance the output fluctuations of the system.•A two-layer capacity allocation method considering the incentive demand response is proposed, and the method is applied to the capacity allocation of the wind power and CSP combined power generation system.•Based on the traditional grasshopper optimization algorithm, the combined spiral motion strategy is added to improve the algorithm. 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.