D-partition Method Based Controller Parameter Setting Method for LCC-HVDC System

被引:0
|
作者
Fu C. [1 ]
Ye Y. [2 ,3 ]
Wang J. [2 ]
Zhou S. [2 ]
Li H. [1 ]
Huang S. [1 ]
机构
[1] State Key Laboratory of HVDC (Electric Power Research Institute of China Southern Power Grid Company Limited), Guangzhou
[2] School of Electric Power, South China University of Technology, Guangzhou
[3] China Southern Power Grid Company Limited, Guangzhou
基金
中国国家自然科学基金;
关键词
D-partition method; high voltage direct current (HVDC) transmission; line commutated converter (LCC); parameter setting; small-signal dynamic model; stability margin;
D O I
10.7500/AEPS20210705006
中图分类号
学科分类号
摘要
The controller parameters of high voltage direct current (HVDC) transmission systems have an important influence on the system stability and dynamic response performance. This paper proposes a controller parameter setting method for the line commutated converter based high voltage direct current (LCC-HVDC) system based on the D-partition method. Firstly, based on the operation parameters of an actual project, an equivalent small-signal dynamic model of the LCC-HVDC system in the single-pole full-voltage operation mode is established. Then the transfer functions of constant current control and constant voltage control loops are obtained based on the Laplace transform of the model. The D-partition method is used to set the proportional-integral (PI) parameters of the constant current controller and the constant voltage controller, and obtain the controller parameter setting domain that meets the requirements of gain margin, phase margin and bandwidth limitation at the same time. The parameter setting domains at different power transmission levels are superimposed to obtain the multi-condition general controller parameter domain. The simulation results verify the accuracy of the small-signal dynamic model and the effectiveness of the proposed controller parameter setting method. © 2022 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:139 / 150
页数:11
相关论文
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