{"title":"弹性电网的快速灾难恢复:DERs与移动电源的集成","authors":"Mostafa Nazemi, P. Dehghanian, Zijiang Yang","doi":"10.1109/PMAPS47429.2020.9183451","DOIUrl":null,"url":null,"abstract":"Despite remarkable growth in penetration of renewable energy resources in power grids, most recovery and restoration strategies cannot fully harness the potentials in such resources due to their inherent uncertainty and stochasticity. We propose a resilient disaster recovery scheme to fully unlock the flexibility of the distribution system (DS) through reconfiguration practices and efficient utilization of mobile power sources (MPS) across the system. A novel optimization framework is proposed to model the MPSs dispatch while considering a set of scenarios to capture the uncertainties in distributed energy resources in the system. The optimization model is then convexified equivalently and linearized into a mixed-integer linear programming formulation to reduce the computational complexity and achieve a global optimality. The numerical results verify a notable recovery speed and an improved power system resilience and survivability to severe extremes with devastating consequences.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Swift Disaster Recovery for Resilient Power Grids: Integration of DERs with Mobile Power Sources\",\"authors\":\"Mostafa Nazemi, P. Dehghanian, Zijiang Yang\",\"doi\":\"10.1109/PMAPS47429.2020.9183451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite remarkable growth in penetration of renewable energy resources in power grids, most recovery and restoration strategies cannot fully harness the potentials in such resources due to their inherent uncertainty and stochasticity. We propose a resilient disaster recovery scheme to fully unlock the flexibility of the distribution system (DS) through reconfiguration practices and efficient utilization of mobile power sources (MPS) across the system. A novel optimization framework is proposed to model the MPSs dispatch while considering a set of scenarios to capture the uncertainties in distributed energy resources in the system. The optimization model is then convexified equivalently and linearized into a mixed-integer linear programming formulation to reduce the computational complexity and achieve a global optimality. The numerical results verify a notable recovery speed and an improved power system resilience and survivability to severe extremes with devastating consequences.\",\"PeriodicalId\":126918,\"journal\":{\"name\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS47429.2020.9183451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS47429.2020.9183451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Swift Disaster Recovery for Resilient Power Grids: Integration of DERs with Mobile Power Sources
Despite remarkable growth in penetration of renewable energy resources in power grids, most recovery and restoration strategies cannot fully harness the potentials in such resources due to their inherent uncertainty and stochasticity. We propose a resilient disaster recovery scheme to fully unlock the flexibility of the distribution system (DS) through reconfiguration practices and efficient utilization of mobile power sources (MPS) across the system. A novel optimization framework is proposed to model the MPSs dispatch while considering a set of scenarios to capture the uncertainties in distributed energy resources in the system. The optimization model is then convexified equivalently and linearized into a mixed-integer linear programming formulation to reduce the computational complexity and achieve a global optimality. The numerical results verify a notable recovery speed and an improved power system resilience and survivability to severe extremes with devastating consequences.