Abstract
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.
Highlights
Escalating concerns regarding devastating climate changes as a consequence of burning fossil fuels and deforestation have highlighted the importance of developing sustainable energy sources around the globe
These findings demonstrate that the proposed algorithm applies randomly to various PV array
These findings demonstrate that the proposed algorithm applies randomly to various PV array sizes
Summary
Escalating concerns regarding devastating climate changes as a consequence of burning fossil fuels and deforestation have highlighted the importance of developing sustainable energy sources around the globe. Non-uniform aging within a PV array leads to differing electrical characteristics between the PV. Modules are linked in series formation, formation, resulting in strings of modules that can generate the necessary voltage demands of the resultingThese in strings of are modules that canconnected generate in theparallel necessary voltage theincreased inverter. These strings are subsequently connected in parallel to form a array with the increased total current. The geneticapproach algorithmused approach used the to optimised outputpower from non-uniformly aged PV modules inPV an array. Other strategies identify themaximum optimisedpower maximum output from non-uniformly aged modules in an array.
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