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Author:

Yang, Yujie (Yang, Yujie.) | Zhou, Yadong (Zhou, Yadong.) | Wu, Jiang (Wu, Jiang.) | Liu, Ting (Liu, Ting.) | Xu, Zhanbo (Xu, Zhanbo.) | Guan, Xiaohong (Guan, Xiaohong.)

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Abstract:

The increasing penetration of renewable energy generation (REG) introduces an amount of uncertainty and power electronics devices into power grid that severely affects the physical responses in the evolution of cascading failure. However, existing cascading failure models cannot accurately describe the physical responses affected by the features of REG and their interaction in the propagation of cascading failure. In this paper, a cascading failure model integrating the multiply physical responses is proposed. In this model, the physical responses affected by REG are described, including relay protection, frequency regulation and dispatching strategy. In the experiment, our model is compared with the model in traditional power grid. The experimental results show that the penetration of REG will change the evolution path of failure, and the probability of blackouts will increase with the increasing penetration level of REG. © 2022 IEEE.

Keyword:

Electric fault currents Electric power system protection Electric power transmission networks Outages Relay protection Renewable energy resources

Author Community:

  • [ 1 ] [Yang, Yujie]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 2 ] [Zhou, Yadong]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 3 ] [Wu, Jiang]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 4 ] [Liu, Ting]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 5 ] [Xu, Zhanbo]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 6 ] [Guan, Xiaohong]The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 7 ] [Guan, Xiaohong]Tsinghua University, The Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tnlist, Beijing; 100084, China

Reprint Author's Address:

  • Y. Zhou;;The Moe Klinns Lab of Xi'an Jiaotong University, Xi'an, 710049, China;;email: ydzhou@xjtu.edu.cn;;

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ISSN: 2161-8070

Year: 2022

Volume: 2022-August

Page: 1041-1046

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 14

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