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Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration

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dc.contributor.authorBedyao, Juan C.en
dc.contributor.authorXie, Jingen
dc.contributor.authorWang, Yuboen
dc.contributor.authorZhang, Xien
dc.contributor.authorLiu, Chen-Chingen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2019-11-13T15:15:27Zen
dc.date.available2019-11-13T15:15:27Zen
dc.date.issued2019en
dc.description.abstractResiliency of distribution systems under extreme operating conditions is critical, especially when the utility is not available. With the large-scale deployment of distributed resources, it becomes possible to restore critical loads with local non-utility resources. Distribution system operators (DSOs) need to determine the critical loads to be restored, considering limited resources and distribution facilities. Several studies on resiliency have been conducted for the restoration of distribution systems. However, the inherent asynchronous characteristic of the information availability has not been incorporated. With incomplete and asynchronous information, decisions may be made that result in underutilization of generation resources. In this paper, a new distribution system restoration approach is proposed, considering uncertain devices and associated asynchronous information. It uses a two-module architecture that efficiently optimizes restoration actions using a binary linear programming model and evaluates their feasibility with unbalanced optimal power flow. Networked microgrids are included in the model. The IEEE 123-node test feeder is used for validation. The results show that asynchronous messages may affect the restoration actions significantly and the impacts can be mitigated by the proposed decision support tool for the DSOs.en
dc.description.notesThis work was supported in part by the SIEMENS Corporate Technology, in part by the Dominion Energy, and in part by the U.S. Department of Energy (DOE) through the Virginia Tech agreement under Grant AT-45607 of 2018.en
dc.description.sponsorshipSIEMENS Corporate Technology; Dominion Energy; U.S. Department of Energy (DOE) through the Virginia TechUnited States Department of Energy (DOE) [AT-45607]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2930907en
dc.identifier.eissn2169-3536en
dc.identifier.urihttp://hdl.handle.net/10919/95535en
dc.identifier.volume7en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBinary linear programmingen
dc.subjectdecision making with asynchronous informationen
dc.subjectdistribution systems resiliencyen
dc.subjectthree-phase unbalanced optimal power flowen
dc.titleResiliency of Distribution Systems Incorporating Asynchronous Information for System Restorationen
dc.title.serialIEEE Accessen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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