Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/30483
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nakiganda, Agnes M. | - |
dc.contributor.author | Dehghan, Shahab | - |
dc.contributor.author | Aristidou, Petros | - |
dc.date.accessioned | 2023-09-22T08:06:01Z | - |
dc.date.available | 2023-09-22T08:06:01Z | - |
dc.date.issued | 2021-10-18 | - |
dc.identifier.citation | 2021 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, Espoo, Finland, 18 - 21 October 2021 | en_US |
dc.identifier.isbn | 9781665448758 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/30483 | - |
dc.description.abstract | Embedded 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.iso | en | en_US |
dc.rights | © IEEE | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Convex Optimization | en_US |
dc.subject | Distribution Networks | en_US |
dc.subject | Exact Conic Relaxation | en_US |
dc.subject | Multi-Period Optimal Power Flow | en_US |
dc.title | Comparison of AC Optimal Power Flow Methods in Low-Voltage Distribution Networks | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of Leeds | en_US |
dc.collaboration | Imperial College London | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.relation.conference | Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 | en_US |
dc.identifier.doi | 10.1109/ISGTEurope52324.2021.9639957 | en_US |
dc.identifier.scopus | 2-s2.0-85123914242 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85123914242 | - |
cut.common.academicyear | 2021-2022 | en_US |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4429-0225 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
50
2
checked on Mar 14, 2024
Page view(s)
135
Last Week
0
0
Last month
5
5
checked on Dec 22, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License