Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems
Ice disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of po...
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| Format: | Article |
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MDPI AG
2018-08-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/9/2272 |
| _version_ | 1818015219058737152 |
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| author | Jiazheng Lu Jun Guo Zhou Jian Yihao Yang Wenhu Tang |
| author_facet | Jiazheng Lu Jun Guo Zhou Jian Yihao Yang Wenhu Tang |
| author_sort | Jiazheng Lu |
| collection | DOAJ |
| description | Ice disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of power transmission systems. This method considers the spatial–temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities. Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model. A cell partition method is adopted to analyze the way ice disasters affect the operation of power transmission systems. The sequential Monte Carlo simulation method is used to assess resilience for capturing the stochastic impact of ice disasters and deriving the contingency set. Finally, the IEEE RTS-79 system is employed to investigate the impact of ice disasters by two case studies, which demonstrate the viability and effectiveness of the proposed framework. In turn, the results help recognize the resilience of the system under such disasters and the effects of different resilience enhancement measures. |
| first_indexed | 2024-04-14T06:54:08Z |
| format | Article |
| id | doaj.art-4cc3e2ff8ed64191a95535b42356f23e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T06:54:08Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4cc3e2ff8ed64191a95535b42356f23e2022-12-22T02:06:56ZengMDPI AGEnergies1996-10732018-08-01119227210.3390/en11092272en11092272Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission SystemsJiazheng Lu0Jun Guo1Zhou Jian2Yihao Yang3Wenhu Tang4State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, ChinaState Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, ChinaState Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou 510640, ChinaIce disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of power transmission systems. This method considers the spatial–temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities. Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model. A cell partition method is adopted to analyze the way ice disasters affect the operation of power transmission systems. The sequential Monte Carlo simulation method is used to assess resilience for capturing the stochastic impact of ice disasters and deriving the contingency set. Finally, the IEEE RTS-79 system is employed to investigate the impact of ice disasters by two case studies, which demonstrate the viability and effectiveness of the proposed framework. In turn, the results help recognize the resilience of the system under such disasters and the effects of different resilience enhancement measures.http://www.mdpi.com/1996-1073/11/9/2272cell partition methodice disasterspower transmission systemsresilience assessmentsequential Monte Carlo |
| spellingShingle | Jiazheng Lu Jun Guo Zhou Jian Yihao Yang Wenhu Tang Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems Energies cell partition method ice disasters power transmission systems resilience assessment sequential Monte Carlo |
| title | Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems |
| title_full | Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems |
| title_fullStr | Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems |
| title_full_unstemmed | Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems |
| title_short | Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems |
| title_sort | resilience assessment and its enhancement in tackling adverse impact of ice disasters for power transmission systems |
| topic | cell partition method ice disasters power transmission systems resilience assessment sequential Monte Carlo |
| url | http://www.mdpi.com/1996-1073/11/9/2272 |
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