Open Access

ARTICLE

An Improved Immune Clone Selection Algorithm for Parameters Optimization of Marine Electric Power System Stabilizer

Zong Bi*, Weifeng Shi, Tiewei Song
Department of Electrical Engineering, Shanghai Maritime University, Shanghai, 201306, China
* Corresponding Author: Zong Bi. Email:
(This article belongs to this Special Issue: Advances in Modern Electric Power and Energy Systems)

Energy Engineering 2022, 119(3), 907-928. https://doi.org/10.32604/ee.2022.019627

Received 03 October 2021; Accepted 22 December 2021; Issue published 31 March 2022

Abstract

In the marine electric power system, the marine generators will be disturbed by the large change of loads or the fault of the power system. The marine generators usually installed power system stabilizers to damp power system oscillations through the excitation control. This paper proposes a novel method to obtain optimal parameter values for Power System Stabilizer (PSS) to suppress low-frequency oscillations in the marine electric power system. In this paper, a newly developed immune clone selection algorithm was improved from the three aspects of the adaptive incentive degree, vaccination, and adaptive mutation strategies. Firstly, the typical PSS implementation type of leader-lag structure was adopted and the objective function was set in the optimization process. The performance of PSS tuned by improved immune clone selection algorithm was compared with PSS tuned by basic immune clone selection algorithm (ICSA) under various operating conditions and disturbances. Then, an improved immune clone selection algorithm (IICSA) optimization technique was implemented on two test systems for test purposes. Based on the simulations, it is found that an improved immune clone selection algorithm demonstrates superiority over the basic immune clone selection algorithm in getting a smaller number of iterations and fast convergence rates to achieve the optimal parameters of the power system stabilizers. Moreover, the proposed approach improves the stability and dynamic performance under various loads conditions and disturbances of the marine electric power system.

Keywords

Marine electric power system; excitation system; immune clone selection algorithm; low frequency oscillations; power system stability

Cite This Article

Bi, Z., Shi, W., Song, T. (2022). An Improved Immune Clone Selection Algorithm for Parameters Optimization of Marine Electric Power System Stabilizer. Energy Engineering, 119(3), 907–928.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 810

    View

  • 502

    Download

  • 0

    Like

Share Link

WeChat scan