控制与信息技术Issue(6)：74-81,8.DOI:10.13889/j.issn.2096-5427.2025.06.010
基于遗传算法的风电机组一次调频自适应协同控制
Adaptive Collaborative Control for Primary Frequency Control of Wind Turbines Based on Genetic Algorithm
方国欣 1常晟 1宋婷1
作者信息
- 1. 中车株洲电力机车研究所有限公司,湖南株洲 412001
- 折叠
摘要
Abstract
To address low pass rates in tests due to huge power fluctuations in wind turbines during primary frequency control(PFC),this paper proposes a genetic algorithm-based adaptive cooperative control framework,integrating an adaptive drivetrain damping(DTD)parameter algorithm and a dynamic torque scheduling strategy.First,this paper describes the control mechanism by establishing a mathematical model of the unit control system under PFC.Next,two solutions are developed to mitigate power fluctuations during PFC:(1)An adaptive genetic algorithm(GA)for self-optimizing DTD parameters;and(2)A multi-constrained dynamic torque scheduling strategy for drivetrain damping.Finally,using a co-simulation platform that comprises an electromechanical transient model and a Bladed coupling model,this paper presents a comparative analysis of the following:(1)DTD parameters tuned by the traditional method;(2)response characteristics in parameters under the adaptive DTD parameter genetic algorithm;and(3)dynamic characteristics under the multi-constrained dynamic DTD torque scheduling strategy.Comparing results from simulations and prototype tests demonstrated a 60％reduction in power fluctuations attributed to the control solutions proposed,highlighting the technological advantages of the adaptive cooperative control system in enhancing PFC stability for wind turbines.关键词
风力发电机组/一次调频/遗传算法/功率波动/载荷Key words
wind turbine/primary frequency control(PFC)/genetic algorithm/power fluctuation/load分类
信息技术与安全科学引用本文复制引用
方国欣,常晟,宋婷..基于遗传算法的风电机组一次调频自适应协同控制[J].控制与信息技术,2025,(6):74-81,8.
