Abstract
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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 4$ </tex-math></inline-formula> 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.
Highlights
Energy resources and demand are critical to the development of emerging economies and their long-term viability
The study in [12], [13], [32], [33] developed an offline rearrangement approach in order to increase the energy efficiency of aged PV systems by examining potential rearrangements made to PV modules in line with maximum power point (MPP)
The current paper concentrates on non-uniform aging processes in PV arrays
Summary
Energy resources and demand are critical to the development of emerging economies and their long-term viability. To make sure optimal performance is achieved, and mismatch losses of a PV system are limited (under aging conditions), a number of interconnection configurations have been suggested for PV modules [12], [13], [14], [15]. The study in [12], [13], [32], [33] developed an offline rearrangement approach in order to increase the energy efficiency of aged PV systems by examining potential rearrangements made to PV modules in line with maximum power point (MPP). The current paper intends to suggest a way to reposition aging PV modules in such a way that the PV system has a less negative impact, using indoor experimentation This will increase the power a PV array can produce, and for the current study needs, the algorithm can quickly find the optimal reconfiguration.
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