{"title":"Research on the Construction and Application of Evaluation Index System of Resilient Distribution Network","authors":"Jun Liu, Rui Li, Yini Xu","doi":"10.1109/REPE52765.2021.9616977","DOIUrl":null,"url":null,"abstract":"The resilient distribution power system has the ability to resist, adapt to and quickly recover from small probability disturbance events. The establishment of a quantitative evaluation index system of resilience to handle extreme events can clearly and intuitively evaluate the resilience of distribution network, realize the deduction, simulation and early warning of extreme events, and provide decision support for pre-disaster strengthening and post-disaster recovery, thus realizing the rapid recovery of resilient distribution network. Based on the principle of multi-objective segmentation, the paper divides the resilient recovery process into pre-exist prevention process and in disaster resistance process, that is, the resilience and adaptability of system to disaster events with small probability & high loss, and the post disaster recovery process is aimed to reduce the cascading failures caused by disasters and shorten the power system recovery time. According to the relationship between probability and loss, the resilience index is layered and refined. The static and dynamic indexes are considered to comprehensively describe the resilience level of distribution network during the entire extreme events from different aspects such as load, network structure, equipment and emergency management. On the basis of the constructed index system, the traditional analytic hierarchy process is improved, and the index weight is reset by the optimal weighting method, which reduces the subjectivity of person and makes the obtained weight more scientific. The example proves the effectiveness of the evaluation index and method.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE52765.2021.9616977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The resilient distribution power system has the ability to resist, adapt to and quickly recover from small probability disturbance events. The establishment of a quantitative evaluation index system of resilience to handle extreme events can clearly and intuitively evaluate the resilience of distribution network, realize the deduction, simulation and early warning of extreme events, and provide decision support for pre-disaster strengthening and post-disaster recovery, thus realizing the rapid recovery of resilient distribution network. Based on the principle of multi-objective segmentation, the paper divides the resilient recovery process into pre-exist prevention process and in disaster resistance process, that is, the resilience and adaptability of system to disaster events with small probability & high loss, and the post disaster recovery process is aimed to reduce the cascading failures caused by disasters and shorten the power system recovery time. According to the relationship between probability and loss, the resilience index is layered and refined. The static and dynamic indexes are considered to comprehensively describe the resilience level of distribution network during the entire extreme events from different aspects such as load, network structure, equipment and emergency management. On the basis of the constructed index system, the traditional analytic hierarchy process is improved, and the index weight is reset by the optimal weighting method, which reduces the subjectivity of person and makes the obtained weight more scientific. The example proves the effectiveness of the evaluation index and method.