Journal of Engineering, Project, and Production Management, 2026, 16(3), 2025-151
Enhanced Particle Swarm Optimization for Efficient and Sustainable Power System Dispatch
Lecturer, Department of Accounting, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China, E-mail: baixiaodong@hevute.edu.cn
Project Management
Received August 8, 2025; revised October 28, 2025; accepted October 29, 2025
Available online April 8, 2026
Abstract: Electricity plays a vital role in socio-economic development, where effective economic dispatch in the power system is crucial for achieving sustainable development. Currently, there are issues with poor optimization performance and low accuracy in multi-objective economic dispatch methods. Therefore, an optimized particle swarm optimization for power system economic dispatch was built, and comparative analysis experiments were conducted. The accuracy and precision were 97.87% and 96.88%, surpassing those of the comparison algorithms. Subsequently, the algorithm was used for economic dispatch analysis. When the generation cost increased from $5.04 to $5.12, the carbon emissions decreased from 1.87×104d to 1.84×104d. During this process, both the generation cost and carbon emissions of the system were below those of the comparison algorithm. The designed algorithm can improve the optimization effect and accuracy, providing a theoretical basis for multi-objective economic dispatch.
Keywords: Economic dispatch, multi-objective, fast non-dominated sorting, power system.
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Citation: Bai, X. (2026). Enhanced Particle Swarm Optimization for Efficient and Sustainable Power System Dispatch. Journal of Engineering, Project, and Production Management, 16(3), 2025-151.
