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Cited by 576

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Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed

Hohm, D.P., Ropp, M.E.·2002·Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036)

Abstract

Maximum power point tracking (MPPT) is important in solar power systems because it reduces the solar array cost by decreasing the number of solar panels needed to obtain the desired output power. Several different MPPT methods have been proposed, but there has been no comprehensive experimental comparison between all the different algorithms and their overall maximum power point (MPP) tracking efficiencies under varying conditions (i.e. Illumination, temperature, and load). This paper such a comparison. Results are using a microprocessor controlled MPPT powered by a 250 W photovoltaic (PV) array and also a PV array simulator.

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Metadata

Authors
Hohm, D. P., & Ropp, M. E.
Venue
Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036)
Publisher
IEEE
Published
2002-11-11
Pages
1699-1702
ISSN
0160-8371 (ISSN-L)
OpenAlex
W2159027549
Cited by
576
References
0
FWCI
15.90
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed. https://app.cochat.ai/papers/10.1109/pvsc.2000.916230
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Hohm, D. P., & Ropp, M. E. (2002). Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed. Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036). https://doi.org/10.1109/pvsc.2000.916230

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.