An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration
In recent years, seismic hazards have become increasingly frequent and severe, presenting significant threats to the resilience of large-scale power systems. It is unclear when seismic hazard will occur, and this complicates the quantification of transmission line failure probability, while the unce...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006409 |
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| author | Changle Liu Baohong Li Qin Jiang Yingmin Zhang Tianqi Liu |
| author_facet | Changle Liu Baohong Li Qin Jiang Yingmin Zhang Tianqi Liu |
| author_sort | Changle Liu |
| collection | DOAJ |
| description | In recent years, seismic hazards have become increasingly frequent and severe, presenting significant threats to the resilience of large-scale power systems. It is unclear when seismic hazard will occur, and this complicates the quantification of transmission line failure probability, while the uncertainty inherent in the cascading failure process poses challenges for calculating resilience metrics. Meanwhile, the exponentially increasing number of enumerations associated with a rise in failure order introduces computational challenges when we seek to assess system resilience. To address these critical challenges, this paper presents a resilience assessment framework for accurately evaluating power system resilience during seismic hazards. The proposed framework includes a transmission line failure probability model, an interval estimation method for handling uncertainties in cascading failures, and an improved enumeration algorithm. This improved algorithm, Upper-Lower- Bound Iteration Impact Increment State Enumeration, integrates the Impact Increment State Enumeration (IISE) with an upper- and lower-bound iteration to enhance computational efficiency.The interval estimation method allows for resilience estimation by evaluating both the best and worst system performance cases in uncertain cascading failures. Additionally, the failure probability of transmission lines is quantified by decomposing the influencing factors. The effectiveness of the proposed method is validated using the IEEE 118-bus system, with further validation conducted on a practical 500 kV system, and the results are presented herein. |
| format | Article |
| id | doaj-art-7be550da8fdb4e6ca08087edf4cf7589 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-7be550da8fdb4e6ca08087edf4cf75892025-01-19T06:23:58ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110417An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumerationChangle Liu0Baohong Li1Qin Jiang2Yingmin Zhang3Tianqi Liu4College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, ChinaCorresponding author.; College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, ChinaIn recent years, seismic hazards have become increasingly frequent and severe, presenting significant threats to the resilience of large-scale power systems. It is unclear when seismic hazard will occur, and this complicates the quantification of transmission line failure probability, while the uncertainty inherent in the cascading failure process poses challenges for calculating resilience metrics. Meanwhile, the exponentially increasing number of enumerations associated with a rise in failure order introduces computational challenges when we seek to assess system resilience. To address these critical challenges, this paper presents a resilience assessment framework for accurately evaluating power system resilience during seismic hazards. The proposed framework includes a transmission line failure probability model, an interval estimation method for handling uncertainties in cascading failures, and an improved enumeration algorithm. This improved algorithm, Upper-Lower- Bound Iteration Impact Increment State Enumeration, integrates the Impact Increment State Enumeration (IISE) with an upper- and lower-bound iteration to enhance computational efficiency.The interval estimation method allows for resilience estimation by evaluating both the best and worst system performance cases in uncertain cascading failures. Additionally, the failure probability of transmission lines is quantified by decomposing the influencing factors. The effectiveness of the proposed method is validated using the IEEE 118-bus system, with further validation conducted on a practical 500 kV system, and the results are presented herein.http://www.sciencedirect.com/science/article/pii/S0142061524006409Resilience assessmentUpper-Lower-Bound Iteration Impact Increment State EnumerationProbability model for transmission line failure during seismic hazardsInterval estimation |
| spellingShingle | Changle Liu Baohong Li Qin Jiang Yingmin Zhang Tianqi Liu An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration International Journal of Electrical Power & Energy Systems Resilience assessment Upper-Lower-Bound Iteration Impact Increment State Enumeration Probability model for transmission line failure during seismic hazards Interval estimation |
| title | An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration |
| title_full | An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration |
| title_fullStr | An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration |
| title_full_unstemmed | An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration |
| title_short | An enhanced system resilience assessment method during seismic hazards: Incorporating the iteration algorithm and impact increment state enumeration |
| title_sort | enhanced system resilience assessment method during seismic hazards incorporating the iteration algorithm and impact increment state enumeration |
| topic | Resilience assessment Upper-Lower-Bound Iteration Impact Increment State Enumeration Probability model for transmission line failure during seismic hazards Interval estimation |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524006409 |
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