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Optimal control study in DFIG based wind energy conversion system using PI GA

机译:基于PI和GA的DFIG风能转换系统的最优控制研究。

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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.
机译:本文提出了一种回收的组织策略,该策略适用于使用遗传算法(GA)方法的已发行的双馈感应发电机(DFIG)发现的风能转换系统(WECS)的转子侧转换器(RSC)和电网侧转换器(GSC)。该组织计划的重点是根据风力涡轮机的功率-速度曲线特性,追踪从风中去除的最细微功率。基于遗传算法方法,提出了精确共享转子和定子电流和电压的有力任务,以为RSC和GSC控制器的控制器扩展获得最佳速率,以获得最佳输出功率和维持方案的动态稳定性。应用MATLAB / Simulink建立生动的表格并创建方案。表单演示与Matlab simulink扩展的功能性表单形成鲜明对比,以阐明演示学习的合法性。

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