2011
DOI: 10.1109/tpel.2010.2090903
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Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System

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Cited by 576 publications
(235 citation statements)
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“…However, perturbations in the zero slope state can still occur. Although some other tracking algorithms, such as fuzzylogic [5], neural-network [6] and swarm chasing [7], exhibit precise tracking capability, these algorithms are very complicated. In addition to the above methods, the fractional open circuit voltage and short current methods have also been proposed.…”
Section: Highly Preferred Methods For Mppt In Pv Systemmentioning
confidence: 99%
“…However, perturbations in the zero slope state can still occur. Although some other tracking algorithms, such as fuzzylogic [5], neural-network [6] and swarm chasing [7], exhibit precise tracking capability, these algorithms are very complicated. In addition to the above methods, the fractional open circuit voltage and short current methods have also been proposed.…”
Section: Highly Preferred Methods For Mppt In Pv Systemmentioning
confidence: 99%
“…The aim of this converter is to extract the maximum power from the PV array. So, it acts as an interface between the PV array and the load, allowing the follow-up of the MPP [18][19][20][21]. The DC/DC conversion process is similar to the transformer one when it is used as an impedance adaptor, except that, in converter the adaptation parameter is not the turns ratio between the secondary and primary ones, but the duty cycle (D), which can be governed electronically.…”
Section: Modeling and Characterization Of The Pv Generatormentioning
confidence: 99%
“…This feature makes it difficult for traditional methods, such as the Perturb & Observe (P&O) method (Femia et al 2005), incremental conductance (IC) method (Zhang et al 2011) and Hill Climbing (Alajmi et al 2011) to distinguish between local and global peaks.…”
Section: Introductionmentioning
confidence: 99%
“…Recent research in this area has seen the application of various artificial intelligence schemes, such as fuzzy logic controller (FLC) (Alajmi et al 2011;Bendib et al 2014) and neural network (NN) (Bendib et al 2014;Zhang and Bai 2008;Boumaaraf et al 2015;Arthishri et al 2014;Ngan and Tan 2016). Though these methods have been shown to be effective in dealing with the nonlinear characteristics of the I-V curves, they incur considerable computational cost (Ishaque et al 2012).…”
Section: Introductionmentioning
confidence: 99%