Cloud model based DFIG wind farm dynamic voltage equivalence method

被引：0
作者：
Zhou, Ming [1 ]
Ge, Jiangbei [1 ]
Li, Gengyin [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2015年 / 35卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Cascading trip; Cloud model; Collector system reconfiguration; Doubly-fed induction generator (DFIG); Dynamic voltage process; Spatial-time characteristc; Wind farm;
D O I：
10.13334/j.0258-8013.pcsee.2015.05.010
中图分类号：
学科分类号：
摘要：
Several serious wind farm cascading tripping events imply that dynamic voltage instability is the common cause of them, while the present wind farm equivalence and modeling approaches are less concerned wind farm dynamic voltage process. This paper took wind farm dynamic voltage process as the focus, studied the clustering and equivalence approaches of large scale wind farm based on cloud model which can describe randomness and fuzziness simultaneously very well. Wind turbine generator (WTG)'s low voltage ride through capability, reactive compensation, WTG output, collector system and external fault were taken into account. The WTGs were clustered by the feature indices given by the cloud model method, were then equivalent by the k-means cluster algorithm. The chained reconfiguration approach was proposed to represent the effect of the collector system on dynamic voltage process. The proposed wind farm dynamic equivalent model was applied to simulate analyzing WTGs cascading trip-off, and compared with the detailed wind farm model. The results show that the proposed equivalent model could simulate the cascading tripping process well. The research achievements provide the model support for analyzing dynamic stability of power systems with large scale wind farm. ©2015 Chin.Soc.for Elec.Eng.
引用
收藏
页码：1097 / 1105
页数：8
相关论文
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