Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/29976
Title: | Voltage Profile Improvement in Unbalanced Distribution Grids by Sequential Quadratic Programming |
Authors: | Bamatraf, M Ceylan, O Pisica, I Ozdemir, A |
Keywords: | renewable energy resources;active distribution networks;sequential quadratic programming;tap changers;voltage profiles |
Issue Date: | 20-Sep-2023 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Bamatraf, M. et al. (2023) 'Voltage Profile Improvement in Unbalanced Distribution Grids by Sequential Quadratic Programming', Proceedings of the 16th IEEE AFRICON Conference, Nairobi, Kenya, 20-23 September, pp. 1 - 6. doi: 10.1109/AFRICON55910.2023.10293298. |
Abstract: | The implementation of renewable energy resources (RERs) such as photovoltaic (PV) units and wind turbines (WTs) has been intensively used on active distribution networks (ADNs) due to their significant environmental, technical, and economic benefits. However, their intermittent nature causes some fluctuations in the voltage profiles, which lead to increased losses in the system. This study presents sequential quadratic programming (SQP) optimization method to improve voltage profiles by optimizing tap changer positions and reactive power output of the inverter of a single PV unit. The proposed optimization is applied to the IEEE 34-bus unbalanced distribution test system to validate its performance. Optimum voltage profiles are compared with the base case conditions where there are no PV sources and voltage regulators. The results show that the SQP provides reliable voltage profile improvement for various operational conditions. |
URI: | https://bura.brunel.ac.uk/handle/2438/29976 |
DOI: | https://doi.org/10.1109/AFRICON55910.2023.10293298 |
ISBN: | 979-8-3503-3621-4 (ebk) 979-8-3503-3622-1 (PoD) |
ISSN: | 2153-0025 |
Other Identifiers: | ORCiD: Ioana Pisica https://orcid.org/0000-0002-9426-3404 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information | 1.3 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.