基于改进鲸鱼优化算法的双馈风电机组控制参数辨识

邓俊; 陈杰; 李怡然; 郑天悦; 程嘉康; 朱大锐

doi:10.19912/j.0254-0096.tynxb.2024-0087

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (5) : 496-505. DOI: 10.19912/j.0254-0096.tynxb.2024-0087

基于改进鲸鱼优化算法的双馈风电机组控制参数辨识

邓俊¹, 陈杰², 李怡然¹, 郑天悦¹, 程嘉康², 朱大锐²

作者信息 +

IDENTIFICATION OF CONTROL PARAMETERS OF DOUBLY-FED INDUCTION GENERATOR BASED ON ENHANCED WHALE OPTIMIZATION ALGORITHM

Deng Jun¹, Chen Jie², Li Yiran¹, Zheng Tianyue¹, Cheng Jiakang², Zhu Darui²

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文章历史 +

摘要

针对双馈感应式发电机（DFIG）控制参数辨识存在的精度低和辨识过程繁琐等问题,该文提出一种基于改进鲸鱼优化算法（E-WOA）的DFIG控制参数辨识方法。该方法通过引入Fuch映射与反向学习相结合的种群初始化策略,对初始种群进行优化,提高算法的收敛速度;针对搜索过程易陷入局部最优的问题,引入池机制增加种群多样性;为提高搜索能力,设计迁移、优先选择和包围猎物3种搜索策略。通过建立DFIG的等效模型,将仿真模型和等效模型的输出的均方根误差作为目标函数,根据目标函数结合E-WOA辨识控制参数。仿真结果验证所提参数辨识方法具有更高的辨识精度和更快的收敛速度。

Abstract

The control parameter identification of doubly-fed induction generator （DFIG） has the problems of low accuracy and cumbersome identification process. Hence, this paper proposes a DFIG control parameter identification method based on Enhanced whale optimization algorithm （E-WOA）. This method adds a population initialization strategy combining Fuch mapping and reverse learning. This strategy improves the convergence speed of the algorithm by optimizing the initial population. To address the issue of the search process being prone to local optima, a pool mechanism has been introduced to enhance population diversity. To improve the search ability, three search strategies, are designed. The equivalent model of DFIG is established. The root mean square error of the output of the simulation model and the equivalent model is taken as the objective function. The control parameters are identified according to the objective function combined with E-WOA. The simulation results validate that the proposed parameter identification method has higher identification accuracy and faster convergence speed.

导出引用

邓俊, 陈杰, 李怡然, 郑天悦, 程嘉康, 朱大锐. 基于改进鲸鱼优化算法的双馈风电机组控制参数辨识[J]. 太阳能学报. 2025, 46(5): 496-505 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0087

Deng Jun, Chen Jie, Li Yiran, Zheng Tianyue, Cheng Jiakang, Zhu Darui. IDENTIFICATION OF CONTROL PARAMETERS OF DOUBLY-FED INDUCTION GENERATOR BASED ON ENHANCED WHALE OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 496-505 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0087

中图分类号： TM464

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