@inproceedings{1e6c6a89bb304862b12faedfcfe00c2d,
title = "Optimal Sizing of Multi-Energy Complementary Microgrid Considering Load Loss Probability",
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.",
keywords = "load loss probability, microgrid, optimal sizing, particle swarm optimization",
author = "Mingyu Xu and Wenbo Hao and Panbao Wang and Leilei Zhao and Wei Wang and Dianguo Xu",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 4th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2022 ; Conference date: 25-03-2022 Through 27-03-2022",
year = "2022",
doi = "10.1117/12.2640197",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lidan Wang and Mengyi Cen",
booktitle = "4th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2022",
address = "美国",
}