Electricity distribution system planning considering incentive reliability regulations

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorLehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.authorJooshaki, Mohammad
dc.contributor.departmentSähkötekniikan ja automaation laitosfi
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.labSharif University of Technologyen
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.schoolSchool of Electrical Engineeringen
dc.contributor.supervisorLehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland; Abbaspour-Tehranifard, Ali, Prof., Sharif University of Technology, Iran; Fotuhi-Firuzabad, Mahmud, Prof., Sharif University of Technology, Iran
dc.date.accessioned2020-06-26T09:00:04Z
dc.date.available2020-06-26T09:00:04Z
dc.date.defence2020-08-17
dc.date.issued2020
dc.descriptionA doctoral dissertation completed for the degree of Doctor of Science (Technology) to be defended, with the permission of the Aalto University School of Electrical Engineering. Remote connection link https://aalto.zoom.us/j/64761320104, on 17 August 2020 at 12:15. Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide Electronic online display version of the doctoral thesis is available by email by request from aaltodoc-diss@aalto.fi
dc.description.abstractElectricity distribution systems are dynamically expanded in anticipation of new demands. Cost and reliability are the most important factors in finding the optimal plans for the network expansion. Recently, implementation of incentive reliability regulations has accentuated the role of reliability considerations in distribution systems studies. This is because such incentive schemes create a direct link between distribution companies' revenues and their service reliability. Thus, these schemes have changed the role of reliability from a technical constraint to an economic factor. In this occasion, distribution companies require new techniques to incorporate the effects of incentive reliability regulations in their planning studies to get the most benefits. Motivated by these points, in this dissertation, various mathematical models are developed to incorporate the incentive reliability regulations into the planning studies of electricity distribution networks. Due to the rapid pace of technological advances in distribution systems, the proposed models consider a wide range of possible scenarios for future networks such as energy hubs, preventive maintenance scheduling, interconnection with natural gas distribution networks, and integration of various distributed generation technologies. In this respect, mathematical models for co-expansion planning of integrated electricity and natural gas networks, optimal scheduling of preventive maintenance actions, and optimal energy hub planning are devised. In addition, various frameworks are proposed to investigate the impacts of parameters of the incentive reliability schemes on distribution companies performance and potential outcomes of the implementation of the incentive regulations. In order to incorporate the reliability regulations into the panning studies, reliability indices must be quantified. Nonetheless, conventional reliability assessment techniques are not applicable due to their limitations. Novel reliability evaluation techniques are proposed in this thesis to address this issue. The proposed reliability models are cast as mixed-integer linear programming expressions which facilitates their integrations into standard mathematical programming models for distribution system planning and operation. It is worth mentioning that the reliability assessment models developed in this thesis can be applied to both passive and active distribution networks.en
dc.format.extent144
dc.format.mimetypeapplication/pdfen
dc.identifier.isbn978-952-60-3956-5 (electronic)
dc.identifier.isbn978-952-60-3955-8 (printed)
dc.identifier.issn1799-4942 (electronic)
dc.identifier.issn1799-4934 (printed)
dc.identifier.issn1799-4934 (ISSN-L)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/45252
dc.identifier.urnURN:ISBN:978-952-60-3956-5
dc.language.isoenen
dc.opnBertling Tjernberg, Lina, Prof., KTH Royal Institute of Technology, Sweden
dc.opnVakilian, Mehdi, Prof., Sharif University of Technology, Iran
dc.publisherAalto Universityen
dc.publisherAalto-yliopistofi
dc.relation.ispartofseriesAalto University publication series DOCTORAL DISSERTATIONSen
dc.relation.ispartofseries105/2020
dc.revSchilling, Marcus Theodor, Prof., Universidade Federal Fluminense, Brazil
dc.revPalu, Ivo, Prof., Tallinn University of Technology, Estonia
dc.subject.keyworddistributed generationen
dc.subject.keywordelectricity power distribution systemen
dc.subject.keywordelectricity distribution system planningen
dc.subject.keywordenergy huben
dc.subject.keywordexpansion co-planningen
dc.subject.keywordexpansion planningen
dc.subject.keywordincentive reliability regulationsen
dc.subject.keywordmixed-integer linear programmingen
dc.subject.otherElectrical engineeringen
dc.titleElectricity distribution system planning considering incentive reliability regulationsen
dc.typeG4 Monografiaväitöskirjafi
dc.type.dcmitypetexten
dc.type.ontasotDoctoral dissertation (monograph)en
dc.type.ontasotVäitöskirja (monografia)fi
local.aalto.acrisexportstatuschecked 2020-08-29_1215
local.aalto.archiveyes
local.aalto.formfolder2020_06_26_klo_09_55
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