Energy management strategy of PV-energy storage microgrid based on multi-mode switching and ICSO algorithm
Konferenz: EMIE 2022 - The 2nd International Conference on Electronic Materials and Information Engineering
15.04.2022 - 17.04.2022 in Hangzhou, China
Tagungsband: EMIE 2022
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Liu, Hanmin; Li, Ming; Ren, Jie (State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co. Ltd, Zhangjiakou, China)
Li, Lianbing; Li, Dongying (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China)
Sun, Kun (School of Artificial Intelligence, Hebei University of Technology, Tianjin, China)
Inhalt:
In order to effectively improve the system performance and energy utilization, an energy management strategy of PV-energy storage microgrid with multi-mode switching and inherited competitive swarm optimization algorithm is proposed. By studying the working modes of the microgrid system under different operating environments and the switching mode between each mode, the ICSO algorithm is used to realize the energy management of the microgrid by fully considering the objectives and constraints of the stable operation of the microgrid and combining with the multi-objective function. And by comparing with the system operation cost under the battery SOC management strategy, the results show that the proposed method has a lower system scheduling cost and is more economical.