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Optimal Estimation and Tracking Control for Variable-speed Wind Turbine with PMSG
Journal of Modern Power Systems and Clean Energy ( IF 5.7 ) Pub Date : 2020-01-01 , DOI: 10.35833/mpce.2018.000365
Farzad Bakhtiari , Jalal Nazarzadeh

Designing an optimal tracking controller and system observer is a nonlinear problem in the variable-speed wind energy conversion system (WECS). In this paper, an adjusted feedforward and feedback optimal controller with extended Kalman filter (EKF) is introduced to estimate and control the permanent magnet synchronous generator (PMSG) for the maximum power point tracking (MPPT) with several disturbances of the wind speed. An augmented model of wind turbine and PMSG is expanded, and then the parameters of the optimal controller and estimator are obtained. The dynamic stability of the closed-loop system with feedback-feedforward controller (FFC), EKF and speed controller are analyzed. To compare the dynamic performance of EKF and FFC with the conventional controllers, numerical results are demonstrated with the disturbances of the wind speed and faults in power grid.

中文翻译:

基于PMSG的风力发电机组最优估计与跟踪控制。

在变速风能转换系统(WECS)中,设计最佳跟踪控制器和系统观测器是一个非线性问题。在本文中,引入了带有扩展卡尔曼滤波器(EKF)的经过调整的前馈和反馈最优控制器,以估计和控制永磁同步发电机(PMSG)来跟踪具有最大风速的最大功率点(MPPT)。扩展了风力发电机和PMSG的扩展模型,然后获得了最优控制器和估计器的参数。分析了带有反馈前馈控制器(FFC),EKF和速度控制器的闭环系统的动态稳定性。为了比较EKF和FFC与传统控制器的动态性能,
更新日期:2020-01-01
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