{"title":"Resilient Preventive Dispatch Considering Load Priority and Interdependence of Critical Infrastructures","authors":"Ying Yang, Yuting Mou, Beibei Wang","doi":"10.1049/stg2.70012","DOIUrl":null,"url":null,"abstract":"<p>As extreme weather events become increasingly frequent and societal development places greater emphasis on a stable electricity supply, there is an increasing focus on the resilience of electrical distribution systems (EDSs). This is especially crucial in preventing cascading failures among interdependent critical infrastructures, such as medical, water, and telecommunication systems. Proactively preparing to cope with disruptive events causing a high risk of power outage is essential for improving the resilience of EDSs. A performance index, human well-being loss (HWL), is proposed to assess the disruption to people's quality of life during extreme weather events, considering the interdependence among critical infrastructures. Based on the proposed index, a novel resilience enhancement framework is proposed, which takes into account expected generation costs, economic losses due to power curtailment and HWL. Subsequently, a two-stage stochastic model for preventive disaster is presented, which optimises power rationing strategies and dispatch schedules. Through a series of case studies, the authors illustrate that the proposed framework can effectively reduce costs, alleviate abnormal operational hours of critical infrastructures and achieve a balance between economic, safety, and social benefits.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70012","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Grid","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/stg2.70012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
As extreme weather events become increasingly frequent and societal development places greater emphasis on a stable electricity supply, there is an increasing focus on the resilience of electrical distribution systems (EDSs). This is especially crucial in preventing cascading failures among interdependent critical infrastructures, such as medical, water, and telecommunication systems. Proactively preparing to cope with disruptive events causing a high risk of power outage is essential for improving the resilience of EDSs. A performance index, human well-being loss (HWL), is proposed to assess the disruption to people's quality of life during extreme weather events, considering the interdependence among critical infrastructures. Based on the proposed index, a novel resilience enhancement framework is proposed, which takes into account expected generation costs, economic losses due to power curtailment and HWL. Subsequently, a two-stage stochastic model for preventive disaster is presented, which optimises power rationing strategies and dispatch schedules. Through a series of case studies, the authors illustrate that the proposed framework can effectively reduce costs, alleviate abnormal operational hours of critical infrastructures and achieve a balance between economic, safety, and social benefits.