文献类型：期刊文献

英文题名：Linear parameter varying control of wind energy conversion systems in partial load

作者：Xu, Jing[1]; Sun, Qing[2]

机构：[1] East China University of Science and Technology, Ministry of Education, The Key Laboratory of Advanced Control and Optimization for Chemical Process, Shanghai, 200237, China; [2] Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai, 200072, China

年份：2020

卷号：2020-December

起止页码：34

外文期刊名：Proceedings - International Conference on Machine Learning and Cybernetics

收录：EI(收录号：20213510836069)

语种：英文

外文关键词：Wind power - Energy conversion - Perturbation techniques - Controllers - State feedback

摘要：This paper is dealt with the rotor speed tracking problem of variable-speed wind turbine systems operating under the partial load condition. Singular perturbation techniques are used to characterize the two-time-scale property of the wind turbine system, and a linear parameter varying (LPV) model is formed to approximate nonlinear behaviours of a wind turbine system. Based on the slow-fast decomposition method, slow and fast subsystems are constructed: one for the mechanical dynamics and the other for the electrical dynamics. Slow and fast controls are derived, respectively, and then a local state feedback controller, sum of the slow and fast control, is formulated. A design procedure, using the linear parameter varying control to combine local controllers, is proposed to guarantee the robustness of the closed-loop nonlinear wind turbine system. Numerical examples are given to show the validity of the proposed control scheme. ? 2020 IEEE.