Etarhouni, M, Chong, B and Zhang, L (2019) A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects. In: Proceedings of IREC 2019: 10th International Renewable Energy Congress. IREC 2019: 10th International Renewable Energy Congress, 26-28 Mar 2019, Sousse, Tunisia. IEEE ISBN 978-1-7281-0140-8
Abstract
A photovoltaic array is subject to reduction of output caused by partial shading which causes bypass diodes to turn on. This can be alleviated by partly or fully cross-tying the modules within the rows of the array, and reconfiguring the positions of modules within it. In this paper a PV array reconfiguration algorithm based on a magic square is proposed. The reconfigured array has the shading effects more evenly dispersed over the entire array surface, which reduces voltage and current drop due to the diode conduction. The performance of this scheme is assessed using simple models of shading patterns, and compares favourably with results from Futoshiki and PRM-FEC algorithms, and a conventional totally cross-tied (TCT) array, under most of the chosen shading patterns.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Crown. This is an author produced version of a paper published in Proceedings of IREC 2019: 10th International Renewable Energy Congress. 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. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Radiation effects; Integrated circuit modeling; Short-circuit currents; Temperature; Photovoltaic systems |
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) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Feb 2019 10:24 |
Last Modified: | 12 Sep 2019 14:37 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IREC.2019.8754602 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142555 |