Nonlinear model predictive control for DFIG-based wind power generation

被引：0
作者：
Kong, Xiao-Bing [1 ]
Liu, Xiang-Jie [1 ]
机构：
[1] The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University
来源：
Liu, X.-J. (liuxj@ncepu.edu.cn) | 2013年 / Science Press卷 / 39期
关键词：
Doubly fed induction generator (DFIG); Input-output feedback linearization (IOFL); Predictive control;
D O I：
10.3724/SP.J.1004.2013.00636
中图分类号：
学科分类号：
摘要：
Reliable control of the doubly fed induction generator (DFIG) is necessary to ensure high efficiency and high load-following capability in the operation of modern wind power plant. It is often difficult for conventional linear controllers to achieve this goal as wind power plants are nonlinear and contain many uncertainties. This paper proposes a nonlinear model predictive controller for the power control of DFIG. It not only considers both the economic and tracking factors under realistic constraints, but also reduces wear and tear of the generating units. With the nonlinear DFIG, the prediction can be calculated based on the input-output feedback linearization (IOFL) scheme. Simulation results are presented to validate the proposed controller. Copyright © 2013 Acta Automatica Sinica. All rights reserved.
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收藏
页码：636 / 643
页数：7
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