Analysis of Influence of Wind Power Grid Connection on Low-frequency Oscillation Mode Based on Vector Margin Method

被引：0
|
作者：
Zhang A. [1 ]
Li D. [1 ]
Zhang Q. [2 ]
Xing H. [1 ]
Shi P. [3 ]
机构：
[1] Inner Mongolia Electric Power Research Institute of Inner Mongolia Power (Group) Co., Ltd., Hohhot
[2] College of Electrical Engineering, Zhejiang University, Hangzhou
[3] Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 02期
关键词：
Frequency response; Low-frequency oscillation; Nyquist curve; Vector margin; Wind power;
D O I：
10.7500/AEPS20200622004
中图分类号：
学科分类号：
摘要：
In recent years, the continuous growth of the installed capacity of renewable energy generation has brought new problems to the stability of power systems. An analysis method based on the frequency response matrix is proposed to calculate the influence of wind power grid connection on the low-frequency oscillation mode in power systems. The result shows that the phase sum of some elements in the frequency response matrix of the synchronous grid and wind turbine system determines the influence of wind power at different access points on the low-frequency oscillation mode. Compared with the traditional analysis method, the vector margin method only needs to obtain the low-frequency oscillation mode and the transfer function matrix of the wind turbine system and synchronous grid system without the necessity of calculation of eigenvectors and residue. The process is simple and the result is intuitive. When multiple wind turbines are integrated to the system simultaneously, the influence of each wind turbine can be observed visually in a two-dimension complex plane. The effectiveness of the analysis results can be verified by the case of Inner Mongolia grid in China. © 2021 Automation of Electric Power Systems Press.
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页码：122 / 129
页数：7
相关论文
共 18 条
  • [1] HE Yikang, HU Jiabing, XU Lie, Operation control of grid-connected doubly-fed asynchronous wind generator, (2012)
  • [2] LI Xiufen, ZHANG Jiancheng, CHI Yongning, Analysis to existing issues and its solutions in development of Inner Mongolia wind power, Inner Mongolia Electric Power, 28, 5, pp. 1-4, (2010)
  • [3] NI Yixin, CHEN Shousun, ZHANG Baolin, Theory and analysis of dynamic power system, (2002)
  • [4] DU Wenjuan, WANG Haifeng, Theory and method of low frequency oscillation damping torque in power system, (2015)
  • [5] JIANG Chongxi, SHI Peng, HUANG Wei, Et al., Parameter setting method for multi-band power system stabilizer considering multiple oscillation modes, Automation of Electric Power Systems, 44, 4, pp. 142-149, (2020)
  • [6] JIANG Ping, ZHENG Binqing, FENG Shuang, Et al., Location and identification method for low frequency oscillation source considering control devices of generator, Automation of Electric Power Systems, 41, 18, pp. 40-45, (2017)
  • [7] GE Jing, DU Hongji, ZHAO Dawei, Et al., Influences of grid-connected photovoltaic power plants on low frequency oscillation of multi-machine power systems, Automation of Electric Power Systems, 40, 22, pp. 63-70, (2016)
  • [8] LI Pengcheng, OU Jiaxiang, HAO Zhenghang, Et al., Experiments on damping the low frequency oscillation of power grid by DFIG-based wind farm with RTDS, Proceedings of the CSU-EPSA, 29, 11, pp. 26-31, (2017)
  • [9] FU Qiang, DU Wenjuan, WANG Haifeng, Analysis of small signal stability for flexible DC grid based on virtual damping index, Automation of Electric Power Systems, 44, 11, pp. 1-10, (2020)
  • [10] DU W, CHEN X, WANG H F., Impact of dynamic interactions introduced by the DFIGs on power system electromechanical oscillation modes, IEEE Transactions on Power Systems, 32, 6, pp. 4954-4967, (2017)
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