Day-ahead economic optimal scheduling of microgrids based on improved particle swarm optimization algorithm

Yi Sui; Jinxuan Guo; Xuebing Chen; Jing Xu; Liuming Jing; Dihao Zhou

doi:10.1117/12.3024280

13 May 2024 Day-ahead economic optimal scheduling of microgrids based on improved particle swarm optimization algorithm

Yi Sui, Jinxuan Guo, Xuebing Chen, Jing Xu, Liuming Jing, Dihao Zhou

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315985 (2024) https://doi.org/10.1117/12.3024280
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

New source of energy technologies have developed rapidly in recent years, effectively reducing the operating costs of power grids. However, the new source of energy technology is more dependent on the natural environment, and there are many uncertain factors, which reduces the stability of the distribution network. Thanks to the rapid development of energy storage technology, by adding energy storage in the distribution network, the stability of the distribution network is improved, and the economic optimization of the distribution network is more active. This paper will discuss the addition of photovoltaic power generation and energy storage in the microgrid, and optimize the daily economic operation of the microgrid through improved particle swarm optimization algorithm, so as to minimize the operation cost of the grid.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yi Sui, Jinxuan Guo, Xuebing Chen, Jing Xu, Liuming Jing, and Dihao Zhou "Day-ahead economic optimal scheduling of microgrids based on improved particle swarm optimization algorithm", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315985 (13 May 2024); https://doi.org/10.1117/12.3024280

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