Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.

Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a...

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Main Authors: Yanling Lv, Xiang Zhao, Zexin Mou
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0326077
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author Yanling Lv
Xiang Zhao
Zexin Mou
author_facet Yanling Lv
Xiang Zhao
Zexin Mou
author_sort Yanling Lv
collection DOAJ
description Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional-integral-derivative controllers under voltage transients. Comparative simulations using the traditional NSGA-II, a multiobjective particle swarm optimization algorithm, and a multiobjective gray wolf optimization algorithm are conducted to validate the proposed algorithm. The improved NSGA-II exhibits superior robustness in suppressing equipment wear and minimizing harmonic distortions under transient conditions. These advancements highlight the potential of the proposed framework for enhancing grid resilience and operational efficiency in wind power systems.
format Article
id doaj-art-9921c7b2fdae4e0eb9d4018186216120
institution Kabale University
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-9921c7b2fdae4e0eb9d40181862161202025-08-20T03:32:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206e032607710.1371/journal.pone.0326077Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.Yanling LvXiang ZhaoZexin MouHerein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic algorithm II (NSGA-II) is proposed by establishing a dynamic model of the rotor-side converter and investigating the operational dynamics of proportional-integral-derivative controllers under voltage transients. Comparative simulations using the traditional NSGA-II, a multiobjective particle swarm optimization algorithm, and a multiobjective gray wolf optimization algorithm are conducted to validate the proposed algorithm. The improved NSGA-II exhibits superior robustness in suppressing equipment wear and minimizing harmonic distortions under transient conditions. These advancements highlight the potential of the proposed framework for enhancing grid resilience and operational efficiency in wind power systems.https://doi.org/10.1371/journal.pone.0326077
spellingShingle Yanling Lv
Xiang Zhao
Zexin Mou
Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
PLoS ONE
title Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
title_full Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
title_fullStr Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
title_full_unstemmed Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
title_short Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.
title_sort optimization of rotor side controller parameters in doubly fed induction generators based on an improved nsga ii
url https://doi.org/10.1371/journal.pone.0326077
work_keys_str_mv AT yanlinglv optimizationofrotorsidecontrollerparametersindoublyfedinductiongeneratorsbasedonanimprovednsgaii
AT xiangzhao optimizationofrotorsidecontrollerparametersindoublyfedinductiongeneratorsbasedonanimprovednsgaii
AT zexinmou optimizationofrotorsidecontrollerparametersindoublyfedinductiongeneratorsbasedonanimprovednsgaii