Nakiganda, AM orcid.org/0000-0003-3017-5525, Dehghan, S and Aristidou, P (2021) Comparison of AC Optimal Power Flow Methods in Low-Voltage Distribution Networks. In: Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe. 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 18 Oct - 21 Sep 2021, Espoo, Finland. IEEE ISBN 978-1-6654-4875-8
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Convex Optimization; Distribution Networks; Exact Conic Relaxation; Multi-Period Optimal Power Flow |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R030243/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Sep 2021 14:34 |
Last Modified: | 03 Aug 2023 15:37 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISGTEurope52324.2021.9639957 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178191 |