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Publishing Language: Chinese

Shipboard power system dynamic reconfiguration optimization strategy considering time-varying load characteristics

Qihuan WU, Zhiyu ZHU( ), Weihan HAO, Denghao YANG, Cheng XU
College of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
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Abstract

Objectives

In order to ensure the safe and stable operation of a shipboard power system under fault conditions, a dynamic reconfiguration optimization method is proposed that considers time-varying load characteristics.

Methods

First, considering the topological structure, generation capacity limit, line current, node voltage and other constraints of the shipboard power system, a dynamic reconfiguration optimization strategy is proposed to minimize weight load cutting and voltage deviation. Next, an improved inertial particle swarm optimization algorithm is used to solve the optimization model. Finally, a typical shipboard power system is used as an example to verify the effectiveness of the proposed method.

Results

The simulation results show that compared with the static reconfiguration method, the dynamic reconfiguration method can reduce the system's voltage deviation by 9.94%, thus significantly improving the quality of the network power supply.

Conclusions

The results of this study can provide references for the reliability design of shipboard power systems.

Keywords

shipboard power systemtime-varying load characteristicsdynamic reconstructionfault recoveryelectric load managementelectric power systemsparticle swarm optimization (PSO)
CLC number: U665.12 Document code: A

References

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Chinese Journal of Ship Research
Volume 20 Issue 3,
June 2025
Pages 241-248
DOI: 10.19693/j.issn.1673-3185.03725

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Cite this article:
WU Q, ZHU Z, HAO W, et al. Shipboard power system dynamic reconfiguration optimization strategy considering time-varying load characteristics. Chinese Journal of Ship Research, 2025, 20(3): 241-248. https://doi.org/10.19693/j.issn.1673-3185.03725

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Received: 08 January 2024
Revised: 04 March 2024
Published: 22 April 2024
© 2025 Chinese Journal of Ship Research.