电网电压对称下降时无刷双馈风力发电机的状态反馈控制

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Pengcheng Nie , Hongru Yu , Jing Hong
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引用次数: 0

摘要

在无刷双馈发电机(BDFG)并网运行的动力学过程中,当电网电压骤降时,相当于在并联节点处突然增加了一个反向电压源。通过推导 BDFG 功率绕组 (PW)、控制绕组 (CW) 和转子绕组 (RW) 在自然状态下的复频域瞬态电流表达式,得出过冲和振荡时间受发电机参数、电网电压的下降程度和相位以及转子转速的影响。随后,提出了一种状态反馈控制策略,并构建了一个以 PW、CW 和 RW 电流为状态变量的状态模型。通过反馈矩阵向输入端添加状态变量,改变发电机的系统矩阵参数,即改变发电机的等效参数。极点分布图显示,在状态反馈策略下,极点与传统控制下的极点相比明显左移,因此可以使系统加速收敛,减小振幅。最后,在实验平台上进行了测试,验证了状态反馈算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State feedback control of brushless Doubly-Fed wind power generator under symmetrical drop of grid voltage

In the dynamics of grid-connected operation of brushless doubly fed generators (BDFG), when the grid voltage dips, it is equivalent to adding a reverse voltage source at the parallel node suddenly. By deriving the expressions of the transient current of power winding (PW), control winding (CW), and rotor winding (RW) of BDFG in the complex frequency domain under natural state, it is concluded that the overshoot and oscillation time are affected by the generator parameters, the drop degree and phase of the grid voltage, and the rotor speed. Then, a state feedback control strategy is proposed, and a state model with PW, CW, and RW current as state variables is constructed. State variables are added to the input through the feedback matrix, the parameters of system matrix of the generator are changed, that is, the equivalent parameters of the generator are changed. The pole distribution diagram shows that under the state feedback strategy, the poles shift significantly to the left compared with the poles with traditional control, so it could make the system accelerate convergence, reduce the amplitude. Finally, the feasibility of the state feedback algorithm was verified using tests on an experimental platform.

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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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