Show simple item record

dc.contributor.authorGarmabdari, Rasoul
dc.contributor.authorJamborsalamati, Pouya
dc.contributor.authorHossain, MJ
dc.contributor.authorLu, Junwei
dc.contributor.authorDehghanian, Payman
dc.date.accessioned2021-02-17T03:14:48Z
dc.date.available2021-02-17T03:14:48Z
dc.date.issued2021
dc.identifier.issn2515-2947
dc.identifier.doi10.1049/stg2.12005
dc.identifier.urihttp://hdl.handle.net/10072/402243
dc.description.abstractPower grid response against High-Impact Low-Probability (HILP) events could be enhanced by (a) hardening mechanisms to boost its structural resilience and (b) corrective recovery and mitigation analytics to improve its operational resilience. This paper focuses on planning for structural resilience and attempts to find the optimal location of the Tie switches in radially-operated power distribution networks that enables harnessing the network topology for maximized resilience against HILP disasters. This goal is achieved through a novel resilience-oriented multi-objective decision making platform, which employs a k-PEM based Probabilistic Power Flow (PPF) algorithm. The proposed framework offers a decision making analytic embedded with the Fuzzy Satisfying Method (FSM) that characterizes the system resilience features such as robustness, restoration agility, load criticality, and recovered capacity, to assess different network reconfiguration options and select the optimal solution for implementation. The aforementioned resilience features are formulated in nodal level and then aggregated over the entire system to characterize the system-level objective functions. The performance of the suggested framework is analyzed on the IEEE 33-Bus test system under a designated HILP event and the applicability on larger networks has been verified on the IEEE 69-bus test system. The results demonstrate the efficacy and applicability of the proposed framework in boosting the network resilience against future extremes.
dc.description.peerreviewedYes
dc.description.sponsorshipBlue Economy CRC Co Ltd
dc.languageEnglish
dc.publisherInstitution of Engineering and Technology
dc.relation.ispartofpagefrom45
dc.relation.ispartofpageto60
dc.relation.ispartofissue1
dc.relation.ispartofjournalIET Smart Grid
dc.relation.ispartofvolume5
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode0906
dc.subject.keywordsDistribution grid resilience; multi-objective optimization; high impact low probability (HILP) event; reconfiguration; state estimation.
dc.titlePlanning for Resilience in Power Distribution Networks: A Multi-Objective Decision Support
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationGarmabdari, R; Jamborsalamati, P; Hossain, MJ; Lu, J; Dehghanian, P, Planning for Resilience in Power Distribution Networks: A Multi-Objective Decision Support, IET Smart Grid, 2020
dcterms.licensehttps://creativecommons.org/licenses/by-nd/4.0/
dc.date.updated2021-02-17T03:08:15Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2021 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution ‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.
gro.hasfulltextFull Text
gro.griffith.authorGarmabdari, Rasoul
gro.griffith.authorLu, Junwei
gro.griffith.authorHossain, Jahangir


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record