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Resilience assessment method and enhancement measures of power transmission system under mountain fire disasters

Authors :
FANG Chaoying
XU Jun
DING Zhilong
CHENG Yunchu
ZHENG Zhongnan
ZHANG Yachao
Source :
电力工程技术, Vol 43, Iss 2, Pp 239-247 (2024)
Publication Year :
2024
Publisher :
Editorial Department of Electric Power Engineering Technology, 2024.

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.

Details

Language :
Chinese
ISSN :
20963203
Volume :
43
Issue :
2
Database :
Directory of Open Access Journals
Journal :
电力工程技术
Publication Type :
Academic Journal
Accession number :
edsdoj.27a12d126a9a4ae39fd5de1462a46e83
Document Type :
article
Full Text :
https://doi.org/10.12158/j.2096-3203.2024.02.025