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http://bura.brunel.ac.uk/handle/2438/29979| Title: | Voltage Profile Improvement in Unbalanced Distribution Networks for Probabilistic Generation and Consumption |
| Authors: | Bamatraf, M Ceylan, O Pisica, I Özdemir, A |
| Keywords: | unbalanced distribution networks;distributed generation;PV systems;sequential linear programming |
| Issue Date: | 24-Jun-2024 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Bamatraf, M. et al. (2024) 'Voltage Profile Improvement in Unbalanced Distribution Networks for Probabilistic Generation and Consumption', 2024 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Auckland, New Zealand, 24-26 June, pp. 1 - 6. doi: 10.1109/PMAPS61648.2024.10667300. |
| Abstract: | Due to their technical, economical, and environmental advantages, active distribution networks implement renewable energy resources (RERs) such as photovoltaic (PV) units in distribution networks DNs. However, some drawbacks may arise due to the intermittent nature of RERs, such as voltage fluctuations and increased system losses. This paper presents an optimization problem that is solved by sequential linear programming (SLP) to improve the voltage profile of the unbalanced distribution network. A probabilistic approach was applied to both the load profile and the active power generation of the PV units. SLP is applied to the modified IEEE 34 Bus Test system. The method optimizes the voltage deviations by changing the taps of the voltage regulators and the reactive power injected by the inverters of the PV systems and, in some cases, by switching a shunt capacitor. MATLAB simulations are done at different times of the day with different loads and PV outputs to compare base case and optimal case voltage profiles. The results show better voltage profiles after applying the presented approach. |
| URI: | https://bura.brunel.ac.uk/handle/2438/29979 |
| DOI: | https://doi.org/10.1109/PMAPS61648.2024.10667300 |
| ISBN: | 979-8-3503-7278-6 (rbk) 979-8-3503-7279-3 (PoD) |
| ISSN: | 2642-6730 |
| Other Identifiers: | ORCiD: Ioana Pisica https://orcid.org/0000-0002-9426-3404 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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|---|---|---|---|---|
| FullText.pdf | Copyright © 2024 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 | 2.84 MB | Adobe PDF | View/Open |
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