Title: An optimal load distribution method for distributed energy systems based on the improved particle swarm optimisation

Authors: Junjun Liu

Addresses: Changshu Institute of Technology, Changshu, Jiangsu, China; Jiangsu Key Laboratory for Elevator Intelligent Safety, Changshu, Jiangsu, China

Abstract: In order to solve the problem of large load variance and high distribution scheme cost after the distributed energy system is integrated into the traditional large power grid, an optimal load distribution method for distributed energy systems based on the improved particle swarm optimisation algorithm is proposed in this paper. Firstly, four output models of the distributed energy system are established. With the minimum cost and the minimum system load variance as the objectives, a multi-objective function model is constructed. Considering the power limit, generation power limit and other restrictions, constraints are constructed to complete the construction of the optimal load distribution model of the distributed energy system. Finally, the PSO algorithm is introduced to update the optimal particles in the solution space through different iterative processes. Combined with quantum theory, the PSO algorithm is optimised to obtain the optimal load distribution scheme. The results show that the cost of the distribution scheme obtained by this method can be reduced by more than 30,000 Yuan, and its load variance value is smaller, so the method has certain research value.

Keywords: improved particle swarm optimisation; distributed energy system; output model; multi-objective function; constraints; load distribution.

DOI: 10.1504/IJGEI.2024.141920

International Journal of Global Energy Issues, 2024 Vol.46 No.6, pp.651 - 664

Received: 25 Aug 2022
Accepted: 25 Jan 2023
Published online: 03 Oct 2024 *

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