Optimal scheduling method of flexible load in smart parks based on improved particle swarm optimization algorithm

Wanbin Li; Chunxiu Liu; Fenfei Lv; Yuqi Zhang; Tianguang Lu; Xuan Liu; Zaiyan Zhou; Longtan Li; Zhigang Liu; Wenxin Wang

doi:10.1117/12.3024461

13 May 2024 Optimal scheduling method of flexible load in smart parks based on improved particle swarm optimization algorithm

Wanbin Li, Chunxiu Liu, Fenfei Lv, Yuqi Zhang, Tianguang Lu, Xuan Liu, Zaiyan Zhou, Longtan Li, Zhigang Liu, Wenxin Wang

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315995 (2024) https://doi.org/10.1117/12.3024461
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

With the widespread popularity of renewable energy and flexible load in the power system, the uncertainty of source and load brings challenges to the safety and economy of the power system. This paper proposes an optimal scheduling method based on flexible load demand response (DR) for smart parks, including renewable energy power generation systems and flexible loads. And a more advantageous algorithm, improved particle swarm optimization (IPSO), is presented to calculate such a model. Finally, the case study shows that the method can obtain greater benefits on the basis of ensuring security and IPSO with improvement in solution speed and accuracy.

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

Citation Download Citation

Wanbin Li, Chunxiu Liu, Fenfei Lv, Yuqi Zhang, Tianguang Lu, Xuan Liu, Zaiyan Zhou, Longtan Li, Zhigang Liu, and Wenxin Wang "Optimal scheduling method of flexible load in smart parks based on improved particle swarm optimization algorithm", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315995 (13 May 2024); https://doi.org/10.1117/12.3024461

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