LAPSE:2023.22694
Published Article
LAPSE:2023.22694
Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging
Mohammed Alkahtani, Yihua Hu, Zuyu Wu, Colin Sokol Kuka, Muflih S. Alhammad, Chen Zhang
March 24, 2023
Aging is known to exert various non-uniform effects on photovoltaic (PV) modules within a PV array that consequently can result in non-uniform operational parameters affecting the individual PV modules, leading to a variable power output of the overall PV array. This study presents an algorithm for optimising the configuration of a PV array within which different PV modules are subject to non-uniform aging processes. The PV array reconfiguration approach suggests maximising power generation across non-uniformly aged PV arrays by merely repositioning, rather than replacing, the PV modules, thereby keeping maintenance costs to a minimum. Such a reconfiguration strategy demands data input on the PV module electrical parameters so that optimal reconfiguration arrangements can be selected. The algorithm repetitively sorts the PV modules according to a hierarchical pattern to minimise the impact of module mismatch arising due to non-uniform aging of panels across the array. Computer modelling and analysis have been performed to assess the efficacy of the suggested approach for a variety of dimensions of randomly non-uniformly aged PV arrays (e.g., 5 × 5 and 7 × 20 PV arrays) using MATLAB. The results demonstrate that enhanced power output is possible from a non-uniformly aged PV array and that this can be applied to a PV array of any size.
Keywords
gene evaluation algorithm, non-uniform aging, rearrangement, reconfiguration, Solar Photovoltaic
Suggested Citation
Alkahtani M, Hu Y, Wu Z, Kuka CS, Alhammad MS, Zhang C. Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging. (2023). LAPSE:2023.22694
Author Affiliations
Alkahtani M: Electrical Engineeri and Electronics Department, University of Liverpool, Liverpool L69 3GJ, UK [ORCID]
Hu Y: Electronic Engineering Department, University of York, York YO10 5DD, UK
Wu Z: Electronic Engineering Department, University of York, York YO10 5DD, UK
Kuka CS: Electronic Engineering Department, University of York, York YO10 5DD, UK [ORCID]
Alhammad MS: Aerospace, Canfield University, Bedford MK43 0AL, UK
Zhang C: School of Computer Science and Technology, China University of Mining and Technology, Xuzhuo 221116, China
Journal Name
Energies
Volume
13
Issue
8
Article Number
E1921
Year
2020
Publication Date
2020-04-14
Published Version
ISSN
1996-1073
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PII: en13081921, Publication Type: Journal Article
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doi:10.3390/en13081921
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Mar 24, 2023
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