Optimal siting of offshore booster station for wind power collection system based on DMST‑PSO algorithm

Authors

Yan LI, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, ChinaFollow
Xiaokun LIU, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, China
Wenqian ZHAO, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, China
Haoyuan SONG, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, China
Guancheng ZHEN, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, China
Yuwei LIANG, Department of Electric Engineering, North China Electric Power University（Baoding）, Baoding 071003, China; Hebei KeyLaboratory of Green and Efficient New Electrical Materials and Equipment, Baoding 071003, China

Keywords

offshore booster station; topology optimization of power collection system; minimum spanning tree; particle swarm optimization

Abstract

The siting of offshore booster stations for power collection systems has an important impact on the construction and operation costs of offshore wind farms. The siting problem of offshore booster stations is essentially an optimization problem based on the topology of the submarine cable. The key to siting optimization of the offshore booster station lies in determining the optimal submarine cable routing. A DMST‑PSO algorithm, combining the dynamic minimum spanning tree (DMST) algorithm with dynamic edge weights and the particle swarm optimization (PSO) algorithm, is proposed for the siting of offshore booster stations for wind power collection systems, aiming at economic optimization. The DMST algorithm first obtains a minimum cost function with the offshore booster station’s coordinate as the independent variable. Then, the PSO algorithm is applied to identify the optimal siting by minimizing the value of this function. The example shows that the DMST‑PSO algorithm can achieve economically optimal siting of offshore booster stations, with the advantages of high computational efficiency and fast convergence.

DOI

10.19781/j.issn.1673-9140.2025.03.015

First Page

133

Last Page

140

Recommended Citation

LI, Yan; LIU, Xiaokun; ZHAO, Wenqian; SONG, Haoyuan; ZHEN, Guancheng; and LIANG, Yuwei (2025) "Optimal siting of offshore booster station for wind power collection system based on DMST‑PSO algorithm," Journal of Electric Power Science and Technology: Vol. 40: Iss. 3, Article 15.
DOI: 10.19781/j.issn.1673-9140.2025.03.015
Available at: https://jepst.researchcommons.org/journal/vol40/iss3/15