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Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking

Masoum, M. A., Dehbonei, H., Fuchs, E. F.·2002·IEEE Power Engineering Review

Abstract

Detailed theoretical and experimental analyses are presented for the comparison of two simple fast and reliable maximum power point tracking (MPPT) techniques for photovoltaic systems (PV): the voltage-based (VMPPT) and the current-based (CMPPT) approaches. A microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both VMPPT and CMPPT algorithms is constructed. The load of the solar system is either a water pump or a resistance. Simulink facilities are used for simulation and modeling of the novel trackers. The main advantage of this new MPPT, as compared with present trackers, is the elimination of reference (dummy) cells, which results in a more efficient, less expensive, and more reliable PV system.

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Metadata

Authors
Masoum, M. A., Dehbonei, H., & Fuchs, E. F.
Venue
IEEE Power Engineering Review
Published
2002-08
Volume
22
Issue
8
Pages
62-62
ISSN
  • 0272-1724 (ISSN-L)
  • 1558-1705
OpenAlex
W3148958314
Cited by
476
References
0
FWCI
3.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking. https://app.cochat.ai/papers/10.1109/mper.2002.4312477
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Masoum, M. A., Dehbonei, H., & Fuchs, E. F. (2002). Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking. IEEE Power Engineering Review. https://doi.org/10.1109/mper.2002.4312477

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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