Dhimish, M, Holmes, V, Mehrdadi, B et al. (3 more authors) (2017) Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions. Renewable Energy, 113. pp. 438-460. ISSN 0960-1481
Abstract
The goal of this paper is to model, compare and analyze the performance of multiple photovoltaic (PV) array configurations under various partial shading and faulty PV conditions. For this purpose, a multiple PV array configurations including series (S), parallel (P), series-parallel (SP), total-cross-tied (TCT) and bridge-linked (BL) are carried out under several partial shading conditions such as, increase or decrease in the partial shading on a row of PV modules and increase or decrease in the partial shading on a column of PV modules. Additionally, in order to test the performance of each PV configuration under faulty PV conditions, from 1 to 6 Faulty PV modules have been disconnected in each PV array configuration. Several indicators such as short circuit current (Isc), current at maximum power point (Impp), open circuit voltage (Voc), voltage at maximum power point (Vmpp), series resistance (Rs), fill factor (FF) and thermal voltage (Vte) have been used to compare the obtained results from each partial shading and PV faulty condition applied to the PV system. MATLAB/Simulink software is used to perform the simulation and the analysis for each examined PV array configuration.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Ltd. This is an author produced version of a paper published in Renewable Energy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multiple PV array configurations; Partial shading; Fault detection; MATLAB/Simulink |
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: | 05 Jun 2017 08:35 |
Last Modified: | 03 Jun 2018 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.renene.2017.06.014 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117259 |