
Proceedings Paper
Optimal sizing of multi-energy complementary microgrid considering load loss probabilityFormat | Member Price | Non-Member Price |
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Paper Abstract
Aiming at the problem of excessive configuration capacity in multi-energy microgrid (MG) planning, this paper first analyzes the system optimization of MG, establishes the flow chart of the optimal sizing of the entire system, then proposes the optimal sizing constraints considering the load loss probability, and establishes a configuration planning model, selects the appropriate configuration method for solving. By using particle swarm optimization (PSO) algorithm to calculate and analyze, the optimal sizing result can be obtained. Furthermore, simulation is conducted combined with case studies to compare the configuration selection of peak load, and verify its economy through simulation.
Paper Details
Date Published: 1 August 2022
PDF: 9 pages
Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122572Y (1 August 2022); doi: 10.1117/12.2640197
Published in SPIE Proceedings Vol. 12257:
4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022)
Lidan Wang; Mengyi (Milly) Cen, Editor(s)
PDF: 9 pages
Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122572Y (1 August 2022); doi: 10.1117/12.2640197
Show Author Affiliations
Mingyu Xu, State Grid Heilongjiang Electric Power Company Limited (China)
Wenbo Hao, State Grid Heilongjiang Electric Power Company Limited (China)
Panbao Wang, Harbin Institute of Technology (China)
Wenbo Hao, State Grid Heilongjiang Electric Power Company Limited (China)
Panbao Wang, Harbin Institute of Technology (China)
Leilei Zhao, State Grid Heilongjiang Electric Power Company Limited (China)
Wei Wang, Harbin Institute of Technology (China)
Dianguo Xu, Harbin Institute of Technology (China)
Wei Wang, Harbin Institute of Technology (China)
Dianguo Xu, Harbin Institute of Technology (China)
Published in SPIE Proceedings Vol. 12257:
4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022)
Lidan Wang; Mengyi (Milly) Cen, Editor(s)
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