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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Chang Wook AHN, Ju Yeop CHOI, Dong-Ha LEE, Jinung AN, "Adaptive Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 5, pp. 1334-1337, May 2010, doi: 10.1587/transcom.E93.B.1334.
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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1334/_p
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@ARTICLE{e93-b_5_1334,
author={Chang Wook AHN, Ju Yeop CHOI, Dong-Ha LEE, Jinung AN, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems},
year={2010},
volume={E93-B},
number={5},
pages={1334-1337},
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.},
keywords={},
doi={10.1587/transcom.E93.B.1334},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Adaptive Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1334
EP - 1337
AU - Chang Wook AHN
AU - Ju Yeop CHOI
AU - Dong-Ha LEE
AU - Jinung AN
PY - 2010
DO - 10.1587/transcom.E93.B.1334
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2010
AB - 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.
ER -