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author:

Fang, C. (Fang, C..) [1] | Xu, J. (Xu, J..) [2] | Ding, Z. (Ding, Z..) [3] | Cheng, Y. (Cheng, Y..) [4] | Zheng, Z. (Zheng, Z..) [5] | Zhang, Y. (Zhang, Y..) [6] (Scholars:张亚超)

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Abstract:

Resilience describes the system capability of defense and recovery to extreme disasters. The transmission system, as an important part of the power system, may occur large-area power blackouts under extreme mountain fire disasters which are low-probability but highly-risk events. A resilience assessment framework considering the whole process of disaster under extreme mountain fire disasters is developed. Firstly, the influence of extreme mountain fire disaster on transmission line failure rate is quantitatively analyzed, and the mathematical relationship between the location of fire point and the line failure rate is established. Then, failure scenarios are obtained by using the system information entropy to describe the possible failure scale that caused by mountain fire disasters. Secondly, considering the geographical location of failure components, repair crews dispatch and repair time, the power transmission system restoration model, aiming at minimizing load reduction under mountain fire disasters, is established. The resilience assessment method of power transmission system considering the whole process of disasters is proposed. Finally, taking IEEE RTS-79 bus system as an example, the effectiveness of the proposed model and the resilience assessment method is verified. The numerical results show that the proposed method can effectively and comprehensively measure the influence of various factors on the elastic performance of transmission system. In addition, the effects of three typical technical measurements on improving elasticity are quantitatively analyzed, which provides a quantifiable reference for the power sector to formulate prevention and recovery strategies for extreme wildfires. © 2024 Editorial Department of Electric Power Engineering Technology. All rights reserved.

Keyword:

extreme mountain fire disaster fault recovery power transmission system resilience resilience assessment resilience index system information entropy

Community:

  • [ 1 ] [Fang C.]State Grid Fujian Electric Power Co., Ltd. Research Institute, Fuzhou, 350007, China
  • [ 2 ] [Xu J.]State Grid Fujian Electric Power Co., Ltd. Research Institute, Fuzhou, 350007, China
  • [ 3 ] [Ding Z.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Cheng Y.]State Grid Fujian Electric Power Co., Ltd. Research Institute, Fuzhou, 350007, China
  • [ 5 ] [Zheng Z.]State Grid Fujian Electric Power Co., Ltd. Research Institute, Fuzhou, 350007, China
  • [ 6 ] [Zhang Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

电力工程技术

ISSN: 2096-3203

CN: 32-1866/TM

Year: 2024

Issue: 2

Volume: 43

Page: 239-247

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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