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Cited by 635

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Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System

Alajmi, Bader N., Ahmed, Khaled H., Finney, Stephen J., Williams, Barry W.·2011·IEEE Transactions on Power Electronics

Abstract

A new fuzzy-logic controller for maximum power point tracking of photovoltaic (PV) systems is proposed. PV modeling is discussed. Conventional hill-climbing maximum power-point tracker structures and features are investigated. The new controller improves the hill-climbing search method by fuzzifying the rules of such techniques and eliminates their drawbacks. Fuzzy-logic-based hill climbing offers fast and accurate converging to the maximum operating point during steady-state and varying weather conditions compared to conventional hill climbing. Simulation and experimentation results are provided to demonstrate the validity of the proposed fuzzy-logic-based controller.

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Metadata

Authors
Alajmi, B. N., Ahmed, K. H., Finney, S. J., & Williams, B. W.
Venue
IEEE Transactions on Power Electronics
Published
2011-04
Volume
26
Issue
4
Pages
1022-1030
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2155546972
Cited by
635
References
0
FWCI
9.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System. https://app.cochat.ai/papers/10.1109/tpel.2010.2090903
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Alajmi, B. N., Ahmed, K. H., Finney, S. J., & Williams, B. W. (2011). Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2010.2090903

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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.