基于PI和遗传算法的DFIG风能转换系统最优控制研究

B. Ganthia, Vishal Agarwal, K. Rout, Madhura K. Pardhe
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引用次数: 15

摘要

本文提出了一种应用遗传算法的双馈感应发电机(DFIG)风力发电系统转子侧变流器(RSC)和电网侧变流器(GSC)相互恢复组织策略。该组织方案的要点是根据风力机的功率-速度拱特性,跟踪从风中取出的最优功率。基于遗传算法,给出了转子和定子电流和电压共享的精确活力任务,得到了RSC和GSC控制器扩展的最佳速率,以获得最佳输出功率和维持方案的动态稳定性。应用MATLAB /Simulink建立了振型并编制了方案。通过与matlab simulink展开的特征形式进行对比,阐明了呈现学习的合法性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal control study in DFIG based wind energy conversion system using PI & GA
This article presents a recovered organize policy for mutually the rotor side converter (RSC) and grid side converter (GSC) of a issued doubly fed induction generator (DFIG)-found wind energy conversion system (WECS) applying Genetic Algorithm (GA) method. The main point of this organize plan is to trail the finest power removed from the wind according to the power-speed arch characteristic of the wind turbine. Found on genetic algorithm method, exact vigor tasks shared to both rotor and stator currents and voltages are presented to get the finest rates for controller expands of both RSC and GSC controllers to get the best output power and sustaining scheme vibrant stability. MATLAB /Simulink were applied to erect the vibrant form and create the scheme. The form presentation was too contrasted with the featured form expanded by matlab simulink to clarify the legality of presented learn.
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