Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30483
DC FieldValueLanguage
dc.contributor.authorNakiganda, Agnes M.-
dc.contributor.authorDehghan, Shahab-
dc.contributor.authorAristidou, Petros-
dc.date.accessioned2023-09-22T08:06:01Z-
dc.date.available2023-09-22T08:06:01Z-
dc.date.issued2021-10-18-
dc.identifier.citation2021 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, Espoo, Finland, 18 - 21 October 2021en_US
dc.identifier.isbn9781665448758-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30483-
dc.description.abstractEmbedded with producers, consumers, and prosumers, active Low-Voltage Distribution Networks (LVDNs) with bi-directional power flows are rising to over-shadow the investment and operation planning in power systems. The Optimal Power Flow (OPF) has been extensively used in the recent years to solve different investment and operation planning problems in LVDNs. However, OPF is inherently a complex non-linear and non-convex optimization problem. Hence, different linearization and convexification models have been introduced in the literature to enhance the modeling accuracy and computational tractability of the OPF problem in LVDNs. In this paper, five multi-period OPF models (including the basic non-linear and non-convex one) are presented, with different linearizations/convexifications for the power flow equations. The proposed models are implemented on the IEEE 34-bus test system and their modeling accuracy and computational complexity are compared and discussed.en_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectConvex Optimizationen_US
dc.subjectDistribution Networksen_US
dc.subjectExact Conic Relaxationen_US
dc.subjectMulti-Period Optimal Power Flowen_US
dc.titleComparison of AC Optimal Power Flow Methods in Low-Voltage Distribution Networksen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of Leedsen_US
dc.collaborationImperial College Londonen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceProceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021en_US
dc.identifier.doi10.1109/ISGTEurope52324.2021.9639957en_US
dc.identifier.scopus2-s2.0-85123914242-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85123914242-
cut.common.academicyear2021-2022en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4429-0225-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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