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Adaptive Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems

Chang Wook AHN, Ju Yeop CHOI, Dong-Ha LEE, Jinung AN

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Chang Wook AHN
School of Information and Communication Engineering, Sungkyunkwan University
Ju Yeop CHOI
Department of Electrical Engineering, Kwangwoon University
Dong-Ha LEE
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
Jinung AN
Daegu Gyeongbuk Institute of Science and Technology (DGIST)

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Keywords:maximum power point tracking,photovoltaic systems,step length,derivative factor,statistical decision-making

JOURNALRESTRICTED ACCESS

2010 Volume E93.BIssue 5Pages 1334-1337

DOIhttps://doi.org/10.1587/transcom.E93.B.1334

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Published: May 01, 2010Received: November 19, 2009Available on J-STAGE: May 01, 2010Accepted: -Advance online publication: -Revised: -

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Article overview

Abstract

This paper presents an adaptive maximum power point tracking (MPPT) algorithm. The aim is to dynamically adjust the step length for updating duty ratio (or operating voltage) so as to make full utilization of the output power of photovoltaic (PV) systems, even under the rapidly changing atmospheric conditions. To this end, the average slope in terms of voltage and power is exploited for reducing the harmful effect of noise and error (incurred in measurement or quantization) on the slope. Also, a statistical decision-making scheme is employed for reliably deciding the time instant at which atmospheric conditions actually change. Empirical study has adduced grounds for its dominance over existing references.

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