| Autor: |
Mohammed Alkahtani, Jiafeng Zhou, Yihua Hu, Fahad Alkasmoul, Zeryab Hassan Kiani, Colin Sokol Kuka |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 9, Pp 87510-87519 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2021.3088386 |
| Popis: |
There are several non-uniform effects on photovoltaic (PV) modules related to aging in a PV array. These subsequently bring about non-uniform operating parameters with individual PV modules, causing a variance in the PV array performance. The current study undertakes an indoor experimental study to establish and positively affect the efficacy of a non-uniform aged 2 $\times 4$ PV array, with a commercially available small panel module of 0.36W (monocrystalline). This paper proposes a gene evolution algorithm (GEA) for offline reconfiguration that can provide more significant output power compared to non-uniformly aged PV arrays through repositioning instead of replacing aged PV modules, which will help lower maintenance expenses. This reconfiguration requires data input from the PV module’s electrical properties in order to select ideal reconfiguration setups. The outcomes show that greater output power can be facilitated through a non-uniformly aged PV array and used on many different PV array sizes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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