A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning

Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum po...

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Main Authors: Mohammed Alkahtani, Zuyu Wu, Colin Sokol Kuka, Muflah S Alahammad, Kai Ni
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:J
Subjects:
Online Access:https://www.mdpi.com/2571-8800/3/1/5
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author Mohammed Alkahtani
Zuyu Wu
Colin Sokol Kuka
Muflah S Alahammad
Kai Ni
author_facet Mohammed Alkahtani
Zuyu Wu
Colin Sokol Kuka
Muflah S Alahammad
Kai Ni
author_sort Mohammed Alkahtani
collection DOAJ
description Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.
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spelling doaj.art-ef222debeedf4de08d6d9a3db153ce022022-12-21T23:53:19ZengMDPI AGJ2571-88002020-02-0131325310.3390/j3010005j3010005A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely RepositioningMohammed Alkahtani0Zuyu Wu1Colin Sokol Kuka2Muflah S Alahammad3Kai Ni4Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UKDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UKDepartment of Electronic Engineering, University of York, Heslington York YO10 5EZ, UKAerospace, Canfield University, Bedford MK43 0AL, UKSchool of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaPhotovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.https://www.mdpi.com/2571-8800/3/1/5solar photovoltaicrearrangementmaximum power point trackingnon-uniform agingreconfiguration
spellingShingle Mohammed Alkahtani
Zuyu Wu
Colin Sokol Kuka
Muflah S Alahammad
Kai Ni
A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
J
solar photovoltaic
rearrangement
maximum power point tracking
non-uniform aging
reconfiguration
title A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
title_full A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
title_fullStr A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
title_full_unstemmed A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
title_short A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-uniformly Aged PV Arrays by merely Repositioning
title_sort novel pv array reconfiguration algorithm approach to optimising power generation across non uniformly aged pv arrays by merely repositioning
topic solar photovoltaic
rearrangement
maximum power point tracking
non-uniform aging
reconfiguration
url https://www.mdpi.com/2571-8800/3/1/5
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