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Linear Formulations for Topology-Variable-Based Distribution System Reliability Assessment Considering Switching Interruptions

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Jooshaki, Mohammad
dc.contributor.author Abbaspour, Ali
dc.contributor.author Fotuhi-Firuzabad, Mahmud
dc.contributor.author Muñoz-Delgado, Gregorio
dc.contributor.author Contreras, Javier
dc.contributor.author Lehtonen, Matti
dc.contributor.author Arroyo, José M.
dc.date.accessioned 2020-09-25T07:06:56Z
dc.date.available 2020-09-25T07:06:56Z
dc.date.issued 2020-09
dc.identifier.citation Jooshaki , M , Abbaspour , A , Fotuhi-Firuzabad , M , Muñoz-Delgado , G , Contreras , J , Lehtonen , M & Arroyo , J M 2020 , ' Linear Formulations for Topology-Variable-Based Distribution System Reliability Assessment Considering Switching Interruptions ' , IEEE Transactions on Smart Grid , vol. 11 , no. 5 , 9084092 , pp. 4032-4043 . https://doi.org/10.1109/TSG.2020.2991661 en
dc.identifier.issn 1949-3053
dc.identifier.issn 1949-3061
dc.identifier.other PURE UUID: f55736b9-cb5d-4fcb-8b4b-763a6b1d148b
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/f55736b9-cb5d-4fcb-8b4b-763a6b1d148b
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85090119533&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/51572661/ELEC_Jooshaki_etal_Linear_Formulations_IEEETraSmaGri_11_2020_authoracceptedmanuscript.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/46633
dc.description.abstract Continuity of supply plays a significant role in modern distribution system planning and operational studies. Accordingly, various techniques have been developed for reliability assessment of distribution networks. However, owing to the complexities and restrictions of these methods, many researchers have resorted to several heuristic optimization algorithms for solving reliability-constrained optimization problems. Therefore, solution quality and convergence to global optimality cannot be guaranteed. Aiming to address this issue, two salient mathematical models are introduced in this paper for topology-variable-based reliability evaluation of both radial and radially-operated meshed distribution networks. Cast as a set of linear expressions, the first model is suitable for radial networks. The second model relies on mixed-integer linear programming and allows handling not only radial networks but also radially-operated meshed distribution grids. Therefore, the proposed formulations can be readily incorporated into various mathematical programming models for distribution system planning and operation. Numerical results from several case studies back the scalability of the developed models, which is promising for their further application in distribution system optimization studies. Moreover, the benefits of the proposed formulations in terms of solution quality are empirically evidenced. en
dc.format.extent 12
dc.format.extent 4032-4043
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseries IEEE Transactions on Smart Grid en
dc.relation.ispartofseries Volume 11, issue 5 en
dc.rights openAccess en
dc.title Linear Formulations for Topology-Variable-Based Distribution System Reliability Assessment Considering Switching Interruptions en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Power Systems and High Voltage Engineering
dc.contributor.department Sharif University of Technology
dc.contributor.department Aalto University
dc.contributor.department University of Castilla-La Mancha
dc.contributor.department Department of Electrical Engineering and Automation
dc.subject.keyword Electricity distribution network
dc.subject.keyword Linear formulations
dc.subject.keyword Topology-variable-based reliability assessment
dc.identifier.urn URN:NBN:fi:aalto-202009255563
dc.identifier.doi 10.1109/TSG.2020.2991661
dc.type.version acceptedVersion


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