Multiple Optimal Operation Strategy of Multi-Energy Complementary Microgrid WANG Panbao, XU Dianguo, TAN Lingling, ZHANG Dayu, WANG Wei (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)
Abstract: The optimal operation of microgrid (MG) with multiple energy sources is the key technology to improve system energy efficiency. Based on the multi-energy complementary MG demonstration project in a campus, the double objective optimization operation model considering daily economic cost and pollution treatment cost is constructed in this paper. The operation strategies of different equipment units are formulated respectively, and an improved multi-objective particle swarm optimization (MOPSO) algorithm based solution method is proposed to solve the dual objective optimization conflict of MG. The dual objective optimization conflict of MG is solved by adding the particle mutation strategy. Finally, based on the actual operation data of campus MG, two different typical days are used for case analysis to verify the effectiveness of the proposed operation strategy. Key words: microgr