Research on Influencing Factors of Power Grid Security Risk Based on "Cognitive-Constraint" Model. Issue 1 (February 2021)
- Record Type:
- Journal Article
- Title:
- Research on Influencing Factors of Power Grid Security Risk Based on "Cognitive-Constraint" Model. Issue 1 (February 2021)
- Main Title:
- Research on Influencing Factors of Power Grid Security Risk Based on "Cognitive-Constraint" Model
- Authors:
- Yu, Lei
Lv, Jin
Peng, Qiwei
Zhao, Linying
Li, Gang - Abstract:
- Abstract: With the improvement of the intelligent level of the power grid, the operation safety of the power system has received extensive attention. The current accident analysis mostly relies on the experience of personnel, which is prone to omissions. Firstly, this article analyzes the safety risk factors of power grid accidents from four aspects: man factors, equipment factors, management factors, and environmental factors based on the accident causes theory. Secondly, the fault tree model is used to explore the mechanism of each failure factor and quantify the structural importance of each event. Finally, summarize the rules of accidents and make reasonable suggestions for scientifically and reasonably avoiding similar accidents and building a safe power grid.
- Is Part Of:
- Journal of physics. Volume 1771:Issue 1(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1771:Issue 1(2021)
- Issue Display:
- Volume 1771, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 1771
- Issue:
- 1
- Issue Sort Value:
- 2021-1771-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1771/1/012005 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15894.xml