收藏切换
Risk assessment of new urban power systems under extreme weather conditions based on BN-MC
收藏切换
PDF
Kunqi LIU1, Juan YANG1, Ziyi LI1, Peng LI2, Jiansong WU1, Chang LIU**, 2
China Safety Science Journal | 2026, 36(1) : 157 - 166
Less
收藏切换
China Safety Science Journal | 2026, 36(1): 157-166
Safety Technology and Engineering
Risk assessment of new urban power systems under extreme weather conditions based on BN-MC
Full
Kunqi LIU1, Juan YANG1, Ziyi LI1, Peng LI2, Jiansong WU1, Chang LIU**, 2
Affiliations
  • 1School of Emergency Management and Safety Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
  • 2State Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100053, China
Published: 2026-01-28 doi: 10.16265/j.cnki.issn1003-3033.2026.01.1266
Outline
收藏切换

In order to address the significant safety risks posed by frequent extreme weather to the source, grid, and load-side equipment of the new power system, a risk assessment model for urban new power systems under extreme weather conditions was proposed. First, risk factors of the urban new power system were identified based on disaster theory, and an ISM was applied to clarify the interrelationships among these risk factors. Subsequently, the topological structure of the disaster chain was mapped into a BN. The prior probabilities of each risk factor node were determined using fuzzy comprehensive evaluation and accident statistics. Sensitivity analysis and scenario analysis were employed to derive key risk nodes for urban new power system accidents and the consequences of multi-hazard coupled accidents. Finally, MC simulation was utilized to conduct operational optimization analysis on "transmission towers" from the perspective of wind resistance level design. The results indicate that the constructed BN-MC coupled model effectively quantifies and enhances the analysis of extreme weather risks in urban new power systems. Under multiple superimposed extreme weather conditions, the failure probability of photovoltaic generators reaches as high as 60%, with strong winds being the key driving factor. Furthermore, improving the wind resistance level of transmission towers significantly reduces their failure probability. At a real-time wind speed of 36 km/h, increasing the wind resistance level from 35 km/h to 40 km/h reduces the failure probability by 59.39%. This effect exhibits a nonlinear characteristic, with a greater reduction in risk probability in the low wind speed range than in the medium wind speed range.

Bayesian network(BN)  /  Monte Carlo(MC)  /  extreme weather  /  urban new power system  /  risk assessment  /  interpretative structural modeling method(ISM)
Kunqi LIU, Juan YANG, Ziyi LI, Peng LI, Jiansong WU, Chang LIU. Risk assessment of new urban power systems under extreme weather conditions based on BN-MC[J]. China Safety Science Journal, 2026 , 36 (1) : 157 -166 . DOI: 10.16265/j.cnki.issn1003-3033.2026.01.1266
Year 2026 volume 36 Issue 1
PDF
64
7
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.01.1266
  • Receive Date:2026-09-11
  • Online Date:2026-07-08
  • Published:2026-01-28
Article Data
Affiliations
History
  • Received:2026-09-11
  • Revised:2025-11-15
Funding
Affiliations
    1School of Emergency Management and Safety Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
    2State Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100053, China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2026.01.1266
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT