Analysis of electrical network vulnerability using segmented cascading faults graph
| Autor: | Tao Huang, Xiaoguang Wei, Shibin Gao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
Computer science Load Shedding Vulnerability 020206 networking & telecommunications 02 engineering and technology computer.software_genre Transmission network vulnerability Cascading fault graph Fault chain Vulnerability indices law.invention Chain length Fault propagation Control and Systems Engineering law Electrical network 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) 020201 artificial intelligence & image processing Data mining Electrical and Electronic Engineering computer Temporal information |
| Zdroj: | Computers & Electrical Engineering. 81:106519 |
| ISSN: | 0045-7906 |
| DOI: | 10.1016/j.compeleceng.2019.106519 |
| Popis: | To reveal the mechanism of fault propagation and temporal information between electrical network branches intuitively and vividly, we have proposed a fault chain-based cascading fault graph (CFG) that considers the topological, physical, and fault operational features from an overload mechanism perspective. The proposed CFG is used to construct metrics to identify vulnerable branches of an electrical network. Furthermore, because the vulnerable branch rankings change with the changing fault chain length, the ranking results’ change rules are investigated. As a result, the branch vulnerabilities’ characteristics are found to be different at different stages under sequential attacks. Inspired by the characteristics, the CFGs are divided into three sub-CFGs, based on load shedding threshold, to identify the vulnerable branches at different stages. The proposed method is used to identify the vulnerable branches of the IEEE 39- and 118-bus systems, and its effectiveness is validated by investigating load shedding of the systems under deliberate attacks. |
| Databáze: | OpenAIRE |
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