Photovoltaic (PV) systems face a major problem while operating in partial shadowing situations. This is because several crests in the PV array's voltage-current characteristic can result in inefficient power extraction. Under such circumstances, standard Maximum Power Point Tracking (MPPT) methods are unable to precisely trace the Global Maximum Power Point (GMPP). The paper proposes the utilization of the Velocity Grey Wolf Algorithm (VGWA) to address this challenge. VGWA encouraged through the trailing behaviours of grey wolves, offers the potential to effectively optimize the PV arrangement's functioning by adaptively modifying the tracking process in response to varying ecological situations, including partial shadowing. Through experiments and simulations, the efficacy of VGWA in accurately tracing the GMPP, even in complex shading scenarios, was developed with enhanced efficiency and fleeter conjunction compared to traditional MPPT methods. By studying partial shade conditions, this research advances MPPT performance for PV systems, especially in difficult locations.
Enriched Power Yield from Photovoltaic Systems Under Partial Shadowing Conditions by Velocity Grey Wolf Algorithm
31.07.2024
439829 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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