Electricity distribution system planning considering incentive reliability regulations

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.author Jooshaki, Mohammad
dc.date.accessioned 2020-06-26T09:00:04Z
dc.date.available 2020-06-26T09:00:04Z
dc.date.issued 2020
dc.identifier.isbn 978-952-60-3956-5 (electronic)
dc.identifier.isbn 978-952-60-3955-8 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/45252
dc.description A 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.abstract Electricity 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.extent 144
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 105/2020
dc.subject.other Electrical engineering en
dc.title Electricity distribution system planning considering incentive reliability regulations en
dc.type G4 Monografiaväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Sähkötekniikan ja automaation laitos fi
dc.contributor.department Department of Electrical Engineering and Automation en
dc.subject.keyword distributed generation en
dc.subject.keyword electricity power distribution system en
dc.subject.keyword electricity distribution system planning en
dc.subject.keyword energy hub en
dc.subject.keyword expansion co-planning en
dc.subject.keyword expansion planning en
dc.subject.keyword incentive reliability regulations en
dc.subject.keyword mixed-integer linear programming en
dc.identifier.urn URN:ISBN:978-952-60-3956-5
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (monograph) en
dc.type.ontasot Väitöskirja (monografia) fi
dc.contributor.supervisor Lehtonen, 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.opn Bertling Tjernberg, Lina, Prof., KTH Royal Institute of Technology, Sweden
dc.opn Vakilian, Mehdi, Prof., Sharif University of Technology, Iran
dc.contributor.lab Sharif University of Technology en
dc.rev Schilling, Marcus Theodor, Prof., Universidade Federal Fluminense, Brazil
dc.rev Palu, Ivo, Prof., Tallinn University of Technology, Estonia
dc.date.defence 2020-08-17
local.aalto.formfolder 2020_06_26_klo_09_55
local.aalto.archive yes


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