LAPSE:2019.0880
Published Article
LAPSE:2019.0880
Risk Rating Method Based on the Severity Probability Risk Value and Reserved Risk Maintenance Resource Cost of the Node Disconnection of the Power System
Qingwu Gong, Si Tan
July 31, 2019
In order to solve the problem of traditional risk rating methods without considering the cost of risk maintenance resources and ignoring the low risk of “High Loss Severity (HLS) with low probability” and the low risk of “High Failure Probability (HFP) with low loss severity”, a node disconnection risk rating method (NDRRM) is proposed. This method considers the severity probability risk valuation (SPRV) and reserve risk maintenance resource cost (RRMRC). The risk rating method based on SPRV developed from the traditional risk valuation method can simultaneously identify the nodes with the highest severity values, the nodes with the highest probability of failure, and the nodes with the largest risk valuation. On the basis of the above model, we consider the cost constraints of the reserve risk maintenance resource and put forward a risk rating method based on SPRV and RRMRC. The risk rating results of this model are suitable for guiding risk maintenance in practice. Simulations are carried out on the modified IEEE RTS-79 system to illustrate the effectiveness of the proposed models, and the simulation results show that the model is reasonable and effective.
Keywords
reserve risk maintenance resource cost (RRMRC), Risk Rating Model (RRM), severity probability risk valuation (SPRV)
Suggested Citation
Gong Q, Tan S. Risk Rating Method Based on the Severity Probability Risk Value and Reserved Risk Maintenance Resource Cost of the Node Disconnection of the Power System. (2019). LAPSE:2019.0880
Author Affiliations
Gong Q: College of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Tan S: College of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
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Journal Name
Processes
Volume
7
Issue
5
Article Number
E307
Year
2019
Publication Date
2019-05-22
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7050307, Publication Type: Journal Article
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LAPSE:2019.0880
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doi:10.3390/pr7050307
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Jul 31, 2019
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Jul 31, 2019
 
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Jul 31, 2019
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Original Submitter
Calvin Tsay
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