Resilient Identification of Distribution Network Topology

DC FieldValueLanguage
dc.contributor.authorJafarian, Mohammad-
dc.contributor.authorSoroudi, Alireza-
dc.contributor.authorKeane, Andrew-
dc.date.accessioned2021-11-08T14:17:08Z-
dc.date.available2021-11-08T14:17:08Z-
dc.date.copyright2020 IEEEen_US
dc.date.issued2021-08-
dc.identifier.citationIEEE Transactions on Power Deliveryen_US
dc.identifier.issn0885-8977-
dc.identifier.urihttp://hdl.handle.net/10197/12585-
dc.description.abstractIEEE Network topology identification (TI) is an essential function for distributed energy resources management systems (DERMS) to organize and operate widespread distributed energy resources (DERs). In this paper, discriminant analysis (DA) is deployed to develop a network TI function that relies only on the measurements available to DERMS. The propounded method is able to identify the network switching configuration, as well as the status of protective devices. Following, to improve the TI resiliency against the interruption of communication channels, a quadratic programming optimization approach is proposed to recover the missing signals. By deploying the propounded data recovery approach and Bayes' theorem together, a benchmark is developed afterward to identify anomalous measurements. This benchmark can make the TI function resilient against cyber-attacks. Having a low computational burden, this approach is fast-track and can be applied in real-time applications. Sensitivity analysis is performed to assess the contribution of different measurements and the impact of the system load type and loading level on the performance of the proposed approach.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectDiscriminant analysisen_US
dc.subjectDistribution networken_US
dc.subjectDistributed energy resources management systemsen_US
dc.subjectTopology identificationen_US
dc.titleResilient Identification of Distribution Network Topologyen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactothermohammad.jafarian@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume36en_US
dc.identifier.issue4en_US
dc.identifier.startpage2332en_US
dc.identifier.endpage2342en_US
dc.identifier.doi10.1109/TPWRD.2020.3037639-
dc.neeo.contributorJafarian|Mohammad|aut|-
dc.neeo.contributorSoroudi|Alireza|aut|-
dc.neeo.contributorKeane|Andrew|aut|-
dc.date.updated2021-01-18T17:39:30Z-
dc.identifier.grantid16/IA/4496-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Electrical and Electronic Engineering Research Collection
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