2022
DOI: 10.3389/fenrg.2022.905310
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Hill Climbing Artificial Electric Field Algorithm for Maximum Power Point Tracking of Photovoltaics

Abstract: In this paper, maximum power point tracking (MPPT) of a photovoltaic (PV) system is performed under partial shading conditions (PSCs) using a hill climbing (HC)–artificial electric field algorithm (AEFA) considering a DC/DC buck converter. The AEFA is inspired by Coulomb’s law of electrostatic force and has a high speed and optimization accuracy. Because the traditional HC method cannot perform global search tracking and instead performs local search tracking, the AEFA is used for a global search in the propos… Show more

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Cited by 10 publications
(1 citation statement)
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“…It is essential for developing oil and gas fields [9]. An artificial electric field algorithm that climbs hills can be used to track a photovoltaic system's greatest Power [10]. Powerful models like AlexNet may produce results with high accuracy on even the most challenging datasets [11].…”
Section: Introductionmentioning
confidence: 99%
“…It is essential for developing oil and gas fields [9]. An artificial electric field algorithm that climbs hills can be used to track a photovoltaic system's greatest Power [10]. Powerful models like AlexNet may produce results with high accuracy on even the most challenging datasets [11].…”
Section: Introductionmentioning
confidence: 99%