Optimal planning approach of network topology and active power filter in port distribution network considering harmonic interaction influence

Abstract Considering the shorter electrical distances between multiple renewable distributed generators (RDGs) within the port’s electrical power distribution network (DN), the harmonic power loss of transmission lines and cranes is increased by the primary harmonic currents and harmonic interaction currents. Active power filters (APFs), though a proven solution for suppressing primary harmonic currents, are ineffective in suppressing harmonic interaction currents in DN. Direct current transmission lines with high harmonic impedance effectively suppress harmonic interaction influence (HII) between RDGs. An optimal hierarchical multi-objective planning approach is proposed to collaboratively plan the network topology and APFs and obtain a Pareto optimal solution set. The HII with the planned network topology and the selectable APFs was formulated using explicit formulas. The branch-and-cut algorithm and the non-dominated sorting genetic algorithms Ⅱ (NSGA-Ⅱ) were used to solve the hierarchical model. A comparative analysis of multiple solution algorithms demonstrated the effectiveness of the proposed approach in suppressing the total harmonic current distortion rate to less than 3.5%. Sensitivity analysis indicated optimal economic performance of network topology and APFs when the DC load ratio reaches 20%. Furthermore, considering the future expansion trend of the port, the expansion plan was analysed in this study with 21 bus nodes, 35 transmission lines, and 6 APFs.

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Publication Details

Journal
Transportation Safety and Environment
Published
2026-04-22
DOI
https://doi.org/10.1093/tse/tdag015
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.00
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Optimal planning approach of network topology and active power filter in port distribution network considering harmonic interaction influence

Daogui Tang, Xinhao Bian, Chengqing Yuan, Jinrui Tang et al.
Transportation Safety and Environment
Maritime Transport Emissions and Efficiency
article

Optimal planning approach of network topology and active power filter in port distribution network considering harmonic interaction influence

Daogui Tang, Xinhao Bian, Chengqing Yuan, Jinrui Tang, Yupeng Yuan
article en

Abstract

Abstract Considering the shorter electrical distances between multiple renewable distributed generators (RDGs) within the port’s electrical power distribution network (DN), the harmonic power loss of transmission lines and cranes is increased by the primary harmonic currents and harmonic interaction currents. Active power filters (APFs), though a proven solution for suppressing primary harmonic currents, are ineffective in suppressing harmonic interaction currents in DN. Direct current transmission lines with high harmonic impedance effectively suppress harmonic interaction influence (HII) between RDGs. An optimal hierarchical multi-objective planning approach is proposed to collaboratively plan the network topology and APFs and obtain a Pareto optimal solution set. The HII with the planned network topology and the selectable APFs was formulated using explicit formulas. The branch-and-cut algorithm and the non-dominated sorting genetic algorithms Ⅱ (NSGA-Ⅱ) were used to solve the hierarchical model. A comparative analysis of multiple solution algorithms demonstrated the effectiveness of the proposed approach in suppressing the total harmonic current distortion rate to less than 3.5%. Sensitivity analysis indicated optimal economic performance of network topology and APFs when the DC load ratio reaches 20%. Furthermore, considering the future expansion trend of the port, the expansion plan was analysed in this study with 21 bus nodes, 35 transmission lines, and 6 APFs.

Transportation Safety and Environment
Wuhan University of Technology (CN), Wuhan University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Maritime Transport Emissions and Efficiency
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