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Critical risk determination method of energy-flow network for urban electricity system under extreme heat wave impact
- Source :
- Environmental Research. 191:110143
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The extreme high temperature weather event caused by global warming has increased the risk of urban electric power supply. Critical risk determination method is useful to the system risk prevention and adaptive strategy formulation. Based on analyzing the failure mechanism of power supply under heat wave impact, the paper put forward the method framework of energy-flow network on electric power system risk evaluation. There are three parts in the framework including energy-flow chart analysis of power supply and consumption, establishment and network analysis of Gephi visualization network, and matrix diagram evaluation of node importance. The visualized network of power system with different years and electricity input from external area were established and compared in the case study of Beijing in China. The analysis results showed that the network structure stability of the power system decreased slightly, which was due to the node energy flow becoming high imbalance such as power input from external area, local power generation and energy consumption. For risk prevention, power infrastructures should focus on the high-voltage transmission and distribution facilities and 500 kV hub substations. Meanwhile, to electric power generation and supply, natural gas supply and power supply from Inner Mongolia Autonomous Region played the key roles. And power consumption should focus on the tertiary industry and living consumption.
- Subjects :
- China
business.industry
Node (networking)
Extreme Heat
Energy consumption
010501 environmental sciences
01 natural sciences
Biochemistry
Automotive engineering
Power (physics)
03 medical and health sciences
Electric power system
Electric Power Supplies
0302 clinical medicine
Electricity generation
Electricity
Beijing
Environmental science
030212 general & internal medicine
Electric power
business
0105 earth and related environmental sciences
General Environmental Science
Network analysis
Subjects
Details
- ISSN :
- 00139351
- Volume :
- 191
- Database :
- OpenAIRE
- Journal :
- Environmental Research
- Accession number :
- edsair.doi.dedup.....ae03be23ca97c465e5b7b8f3b882f471