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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:基于直线调节器算法的变速增强变速风能转换系统的级联控制方案

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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保持风电系统在最佳条件下的运行。本文介绍了基于最佳控制方案的线性二次调节器(LQR)算法,用于增强风力涡轮发电机系统(WTGS)的特性。驱动永磁同步的变速风力涡轮机通过完全控制的功率转换器连接到电网。使用级联的LQR控制方案控制机器侧转换器和栅格侧逆变器。 LQR是最佳控制器,实现了快速收敛性和较少的计算复杂性。在研究中的建模和控制策略中阐述了细节。从Zaafarana风电场,埃及捕获的真实风速数据被考虑在获得现实的反应。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加积累控制器进行比较。仿真结果是使用MATLAB / SIMULINK软件进行的,该软件验证所提出的控制方案的效率,用于增强连接到电网的WTGS的特性。

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