Impacts of different wind power generators on power system small signal and transient stability

被引:0
作者
He, Ping [1 ,2 ]
Wen, Fushuan [3 ]
Xue, Yusheng [4 ]
Gerard, Ledwich [5 ]
Li, Sicen [1 ]
机构
[1] School of Electric Power, South China University of Technology
[2] College of Electric and Information Engineering, Zhengzhou University of Light Industry
[3] College of Electrical Engineering, Zhejiang University
[4] NARI Group Corporation (State Grid Electric Power Research Institute)
[5] Queensland University of Technology
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2013年 / 37卷 / 17期
关键词
Power system; Small-signal stability; Transient stability; Wind power generator; Wind power integration;
D O I
10.7500/AEPS201211009
中图分类号
学科分类号
摘要
With the ever-increasing penetration level of wind power, the impacts of wind power on the power system are becoming more and more significant. Hence, it is necessary to systematically examine its impacts on the small signal stability and transient stability in order to find out countermeasures. As such, a comprehensive study is carried out to compare the dynamic performances of power system respectively with three widely-used power generators. First, the dynamic models are described for three types of wind power generators, i. e. the squirrel cage induction generator (SCIG), doubly fed induction generator (DFIG) and permanent magnet generator (PMG). Then, the impacts of these wind power generators on the small signal stability and transient stability are compared with that of a substituted synchronous generator (SG) in the WSCC three-machine nine-bus system by the eigenvalue analysis and dynamic time-domain simulations. Simulation results show that the impacts of different wind power generators are different under small and large disturbances. © 2013 State Grid Electric Power Research Institute Press.
引用
收藏
页码:23 / 29+135
相关论文
共 22 条
[1]  
Zhang H., Yin Y., Shen H., Et al., Peak-shaving margin evaluation associated with wind power integrated system based on sequential Monte-Carlo method, Automation of Electric Power Systems, 36, 1, pp. 32-37, (2012)
[2]  
Li J., Wu Z., Small signal stability analysis of wind power generation participating in primary frequency regulation, Proceedings of the CSEE, 31, 13, pp. 1-9, (2011)
[3]  
Wang Z., Zhou M., Wu D., Et al., Research on dynamic economic dispatch for grid-connected wind power system, Modern Electric Power, 28, 2, pp. 37-42, (2011)
[4]  
Guan H., Chi Y., Dai H., Et al., Small signal stability and control of wind turbine with asynchronous generator integration into power system, Automation of Electric Power Systems, 32, 4, pp. 54-57, (2008)
[5]  
(2008)
[6]  
Deng W., Tang X., Qi Z., Impact of asynchronous wind turbine on micro-grid stability and the solution, Proceedings of the CSEE, 31, 1, pp. 32-38, (2011)
[7]  
Yang L.H., Yang G.Y., Xu Z., Et al., Optimal controller design of a doubly-fed induction generator wind turbine system for small signal stability enhancement, IET Generation, Transmission and Distribution, 4, 5, pp. 579-597, (2010)
[8]  
Chang Y., Xu Z., Zheng Y., A comparison of the integration types of large wind farm, Automation of Electric Power Systems, 31, 14, pp. 70-74, (2007)
[9]  
Mishra Y., Mishra S., Li F., Et al., Small-signal stability analysis of a DFIG-based wind power system under different modes of operation, IEEE Trans on Energy Conversion, 24, 4, pp. 972-982, (2009)
[10]  
Shi L., Kang L., Ni Y., Et al., Small signal stability analysis with penetration of grid-connected wind farm of PMSG type, Automation of Electric Power Systems (in Chinese), 36, 8, pp. 171-177, (2012)