Assessment method and metrics of power system resilience after disasters
How to restore the load of power system after disasters, especially to guarantee the power supply of the important load, is a significant segment of the research on power system resilience. Nowadays, quantities of research existing has been done to reduce the load loss after disasters. However, ther...
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doaj-33d33db7e0394cc99236da73ec9291e72021-04-02T12:27:36ZengWileyThe Journal of Engineering2051-33052018-10-0110.1049/joe.2018.8661JOE.2018.8661Assessment method and metrics of power system resilience after disastersHan Zhang0Zhaohong Bie1Gengfeng Li2Yanling Lin3State Key Laboratory of Electrical Insulation and Power Equipment, Smart Grid Key Laboratory of Shaanxi Province, Xi'an Jiaotong UniversityState Key Laboratory of Electrical Insulation and Power Equipment, Smart Grid Key Laboratory of Shaanxi Province, Xi'an Jiaotong UniversityState Key Laboratory of Electrical Insulation and Power Equipment, Smart Grid Key Laboratory of Shaanxi Province, Xi'an Jiaotong UniversityState Key Laboratory of Electrical Insulation and Power Equipment, Smart Grid Key Laboratory of Shaanxi Province, Xi'an Jiaotong UniversityHow to restore the load of power system after disasters, especially to guarantee the power supply of the important load, is a significant segment of the research on power system resilience. Nowadays, quantities of research existing has been done to reduce the load loss after disasters. However, there is no clear methodologies or metrics available to evaluate the effects of restoration strategies. Here, a method for evaluating the recovery and economic efficiency of the power system post-disaster recovery strategy is explored, and assessment metrics related are defined. The method considers the repair and recovery process of transmission lines, generators, and the distributed generation at load nodes. After given the repair strategies, components state sampling and system power flow calculation will be conducted to analyse the running state of the system, then simulate the component repair and the load recovery procedure, and finally calculate corresponding metrics. This novel method can obtain and compare the expected effects of different restoration strategies in advance, providing more reliable reference information for system decision makers. Finally, the proposed method is applied to IEEE 14-bus system and verifies its effectiveness and application value.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8661business continuityload flowpower engineering computingmaintenance engineeringdistributed power generationpower transmission economicsdisastersassessment methodpower system resiliencedisasterspower supplyimportant loadresearch existingload lossclear methodologiespower system post-disaster recovery strategyassessment metricsload nodesgiven the repair strategiesload recovery procedurecorresponding metricsdifferent restoration strategiessystem decision makers14-bus system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Han Zhang Zhaohong Bie Gengfeng Li Yanling Lin |
spellingShingle |
Han Zhang Zhaohong Bie Gengfeng Li Yanling Lin Assessment method and metrics of power system resilience after disasters The Journal of Engineering business continuity load flow power engineering computing maintenance engineering distributed power generation power transmission economics disasters assessment method power system resilience disasters power supply important load research existing load loss clear methodologies power system post-disaster recovery strategy assessment metrics load nodes given the repair strategies load recovery procedure corresponding metrics different restoration strategies system decision makers 14-bus system |
author_facet |
Han Zhang Zhaohong Bie Gengfeng Li Yanling Lin |
author_sort |
Han Zhang |
title |
Assessment method and metrics of power system resilience after disasters |
title_short |
Assessment method and metrics of power system resilience after disasters |
title_full |
Assessment method and metrics of power system resilience after disasters |
title_fullStr |
Assessment method and metrics of power system resilience after disasters |
title_full_unstemmed |
Assessment method and metrics of power system resilience after disasters |
title_sort |
assessment method and metrics of power system resilience after disasters |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2018-10-01 |
description |
How to restore the load of power system after disasters, especially to guarantee the power supply of the important load, is a significant segment of the research on power system resilience. Nowadays, quantities of research existing has been done to reduce the load loss after disasters. However, there is no clear methodologies or metrics available to evaluate the effects of restoration strategies. Here, a method for evaluating the recovery and economic efficiency of the power system post-disaster recovery strategy is explored, and assessment metrics related are defined. The method considers the repair and recovery process of transmission lines, generators, and the distributed generation at load nodes. After given the repair strategies, components state sampling and system power flow calculation will be conducted to analyse the running state of the system, then simulate the component repair and the load recovery procedure, and finally calculate corresponding metrics. This novel method can obtain and compare the expected effects of different restoration strategies in advance, providing more reliable reference information for system decision makers. Finally, the proposed method is applied to IEEE 14-bus system and verifies its effectiveness and application value. |
topic |
business continuity load flow power engineering computing maintenance engineering distributed power generation power transmission economics disasters assessment method power system resilience disasters power supply important load research existing load loss clear methodologies power system post-disaster recovery strategy assessment metrics load nodes given the repair strategies load recovery procedure corresponding metrics different restoration strategies system decision makers 14-bus system |
url |
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8661 |
work_keys_str_mv |
AT hanzhang assessmentmethodandmetricsofpowersystemresilienceafterdisasters AT zhaohongbie assessmentmethodandmetricsofpowersystemresilienceafterdisasters AT gengfengli assessmentmethodandmetricsofpowersystemresilienceafterdisasters AT yanlinglin assessmentmethodandmetricsofpowersystemresilienceafterdisasters |
_version_ |
1721568832131170304 |