Cooperative Control for DFIG-Based Wind Turbine Generation System Covering All Operating Regions

IF 8.6 1区 工程技术 Q1 ENERGY & FUELS
Yong Wan
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引用次数: 0

Abstract

This paper addresses the multiple control problems over the whole wind speed range for the wind turbine generation system (WTGS), including the safety constraints on the rotational speed and the mechanical power, and the maximum power point tracking, by proposing a novel estimator-based cooperative control scheme for doubly fed induction generator (DFIG) and wind turbine. Firstly, we develop a global estimator to obtain precisely the unmeasurable shift-area turbine speed, which is effective for all wind speed zones and is employed to support the decision-making of the actual operating region and the desired reference signals. Secondly, based on this, a nonlinear adaptive DFIG controller and a pitch angle controller are designed to track the reference point, which ensures the completeness of the control tasks of the corresponding identified operating region. Thirdly, we apply the universal barrier Lyapunov function to the control synthesis of DFIG to impose the physical security constraints with any adjustable safety margin on WTGS. The superiority of the proposed framework is evaluated comparatively on the detailed WTGS model using multiple Monte Carlo simulations with three kinds of stochastic wind speed processes.
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来源期刊
IEEE Transactions on Sustainable Energy
IEEE Transactions on Sustainable Energy ENERGY & FUELS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
21.40
自引率
5.70%
发文量
215
审稿时长
5 months
期刊介绍: The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.
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