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Linear-Quadratic Regulator Algorithm-Based Cascaded Control Scheme for Performance Enhancement of a Variable-Speed Wind Energy Conversion System

机译:基于线性二次调节器算法的级联控制方案用于变速风能转换系统的性能增强

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摘要

Wind power generation is an important trend of global electricity generation. Enormous efforts should be spent to keep the operation of the wind power systems at optimal conditions. This paper presents a linear-quadratic regulator (LQR) algorithm based on an optimal control scheme for enhancing the characteristics of the wind turbine generator systems (WTGSs). The variable-speed wind turbine driving a permanent-magnet synchronous is connected to the electric network through fully controlled power converters. The machine-side converter and the grid-side inverter are controlled using a cascaded LQR control scheme. LQR is an optimal controller, which achieves a rapid convergence and less computational complexity. The modelling and the control strategies of the system under study are elucidated in details. Real wind speed data captured from Zaafarana wind farm, Egypt, are taken into account for obtaining realistic responses. The effectiveness of the proposed controller is compared with that achieved using the genetic algorithm-based optimized proportional-plus-integral controller, considering the network disturbances. The simulation results are carried out using MATLAB/Simulink software that validate the efficiency of the proposed control scheme for enhancing the characteristics of the WTGSs connected to electric networks.
机译:风力发电是全球发电的重要趋势。应该花费巨大的努力来使风力发电系统保持最佳状态。本文提出了一种基于最优控制方案的线性二次调节器(LQR)算法,用于增强风力发电机系统(WTGSs)的特性。驱动永磁同步器的变速风力涡轮机通过完全受控的功率转换器连接到电网。机器侧转换器和电网侧逆变器使用级联LQR控制方案进行控制。 LQR是一种最佳控制器,可实现快速收敛和较少的计算复杂性。详细阐述了所研究系统的建模和控制策略。为了获得真实的响应,需要考虑从埃及Zaafarana风力场捕获的实际风速数据。考虑到网络干扰,将所提出的控制器的有效性与使用基于遗传算法的优化比例积分控制器的有效性进行了比较。仿真结果是使用MATLAB / Simulink软件执行的,该软件验证了所提出的控制方案的效率,以提高与电网连接的WTGS的特性。

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