NDLI: Online operational risk assessment for cascading tripping-off of wind farms in large scale wind power base

Content Provider	IEEE Xplore Digital Library
Author	Shuming Sun Ying Lv Zhihong Yu Guangming Lu Jianfeng Yan Kai Gao
Copyright Year	2014
Description	Author affiliation: State Grid Liaoning Electr. Power Supply Co., Ltd., Shenyang, China (Kai Gao) \|\| CEPRI, Beijing, China (Ying Lv; Zhihong Yu; Guangming Lu; Jianfeng Yan) \|\| China Electr. Power Res. Inst. (CEPRI), Beijing, China (Shuming Sun)
Abstract	While wind power generation develops rapidly in recent years in China, cascading tripping-off failures occurred frequently, which became a threat to security of power system. An online risk assessment for cascading tripping-off of wind farms in large scale wind power base is proposed in this paper. Firstly key procedure of the cascading failure is studied. And then based on relay protection model of wind generator, cascading fault chains are searched with consideration of an initial contingency set. Uncertainty theory is introduced into risk assessment, aiming at wind turbine generators cascading disconnection from power grid. Parallel computing technique is utilized to meet the requirements of online analysis. The proposed risk assessment and early-warning system has been put into application.
Starting Page	1717
Ending Page	1722
File Size	711256
Page Count	6
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993519
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind power generation Wind farms Power system protection Power system faults Generators Power grids Power system stability risk assessment wind power cascading tripping-off failure online analysis
Content Type	Text
Resource Type	Article

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