Etarhouni, M orcid.org/0000-0003-1626-2585, Chong, B and Zhang, L (2022) A combined scheme for maximising the output power of a Photovoltaic array under partial shading conditions. Sustainable Energy Technologies and Assessments, 50. 101878. ISSN 2213-1388
Abstract
The power generation performance of a solar array can be enhanced by using a scheme that combines various techniques, including Maximum Power Point Tracking (MPPT), a PV array reconfiguration, and DC-DC converters for current and voltage matching. This paper presents a novel combination of three techniques and a closed-loop control strategy to improve the performance of a large PV array initially in Tied-Cross-Ties (TCT) interconnection. Firstly a modified Magic Square-Enhanced Configuration (MS-EC) is used to permute the module positions in the array. The chosen example is a 6×6 TCT array. The resultant arrangement is then divided into four 3×3 TCT sub-arrays. Irradiance Equalisation (IE) is applied to each sub-array to make the irradiation levels match approximately between its rows. Finally, a Series-Parallel Differential Power Processing (SP-DPPs) converter scheme is applied to the four sub-arrays for maximum power point tracking. Experimental tests are presented to validate the transfer function models of these converters and the designed control scheme. The combined scheme performance is evaluated under static and dynamic shading patterns; it compares favourably with a TCT array using only bypass diodes by showing an average power gain of 11–48% and an efficiency of 98.95%.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Sustainable Energy Technologies and Assessments. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Magic Square-Enhanced Configuration (MS-EC); Irradiance Equalisation (IE); Differential Power Processing (DPP) converters; Maximum power generation; TCT |
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: | 04 Jan 2022 14:56 |
Last Modified: | 18 Dec 2022 01:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.seta.2021.101878 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181780 |