Abstract
The PV system is power production technologies developed by renewable energy resources which offers the benefits of power scaling, ease of installation, requires low maintenance and modularity. Solar photovoltaic (PV) systems are semiconductor technologies that change solar energy into direct current (DC) electricity via the exchange of electrons. A “Maximum Point Tracking” (MPPT) technique is derived to increase PV array's output power under all circumstances by monitoring the maximum power. The point of maximum power was tracked by various MPPT algorithms including the incremental conductance, perturb and observe (P&O), constant current, constant voltage, and parasitic capacitance methods etc. Despite being a straightforward technique, the perturb and monitor algorithm tracks incorrectly when the weather suddenly changes and oscillates around the point of maximum power (MPP), which can be avoided by utilizing the hybrid ABC-WOA algorithm. Therefore, to overcome this problem, an MPPT approach that is built on the hybrid ABC-WOA algorithm was performed associated to that of Perturbation and observation (P&O) as benchmarks. The ABC-WOA algorithm has ability to efficiently decrease the start-up time, minimizes the steady-state-run-yield oscillation of power following step change in an irradiance and enhances output efficiency. The recommended algorithm may easily handle partly shadowed PV arrays; lower power losses brought on by improperly recognizing the local position, and increase the effectiveness of PV power production.
Published Version
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