南方电网技术2025，Vol.19Issue(10)：12-26,46,16.DOI:10.13648/j.cnki.issn1674-0629.2025.10.002
基于遗传-禁忌搜索的风机参数辨识方法
Wind Turbine Parameter Identification Based on Genetic-Tabu Search Algorithm
摘要
Abstract
With the large-scale integration of renewable energy sources such as wind and solar power into the power system,there is an increased demand for precise characterization of their operational characteristics.Due to the randomness and volatility of wind energy,higher performance requirements are imposed on wind turbine control systems.By rapidly and accurately identifying the parameters of wind turbine control systems and precisely describing the characteristics of wind turbines,it contributes to power system analysis.After analyzing intelligent identification methods such as genetic algorithms,a new approach combining genetic algorithms with tabu search algorithms is proposed to improve the accuracy and speed of wind turbine parameter identification.Through parameter identification of the inner and outer loop parameters of the turbine-side converter and grid-side converter in the wind power generation system,and by comparing the convergence errors and iteration counts of different control algorithms,experimental results demonstrate that the proposed genetic-tabu search algorithm exhibits significant advantages in global optimiza-tion and rapid search capabilities compared to parameter identification methods such as the simplex method,genetic algorithm,and tabu search.关键词
新能源/风机/参数辨识/遗传算法/禁忌搜索Key words
new power system/wind turbine/parameter identification/genetic algorithm/tabu search分类
动力与电气工程引用本文复制引用
高琴,张建新,周运红,徐光虎,邱建,沈卓轩,黄河,张东辉..基于遗传-禁忌搜索的风机参数辨识方法[J].南方电网技术,2025,19(10):12-26,46,16.基金项目
国家重点研发计划资助项目(2021YFB2400902) （2021YFB2400902）
中国南方电网有限责任公司创新项目(000005KK52220027). Supported by the National Key Research and Development Program of China （000005KK52220027）
the Innovation Project of China Southern Power Grid Co.,Ltd.(000005kk52220027). （000005kk52220027）
