2008
DOI: 10.1109/tie.2008.924036
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Optimized Maximum Power Point Tracker for Fast-Changing Environmental Conditions

Abstract: Abstract-This paper presents a high-performance maximum power point tracker (MPPT) optimized for fast cloudy conditions, e.g., rapidly changing irradiation on the photovoltaic panels. The rapidly changing conditions are tracked by an optimized hillclimbing MPPT method called dP -P&O. This algorithm separates the effects of the irradiation change from the effect of the tracker's perturbation and uses this information to optimize the tracking according to the irradiation change. The knowledge of the direction of… Show more

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Cited by 379 publications
(123 citation statements)
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“…In the implementation of the current-type INC MPPT methods, two issues should be taken into account. First, INC MPPT methods can fail under rapidly changing irradiance conditions with large ramp rates [15]. Fig.…”
Section: B Mppt and Reserved Power Control Of The Boost Converter Unmentioning
confidence: 99%
“…In the implementation of the current-type INC MPPT methods, two issues should be taken into account. First, INC MPPT methods can fail under rapidly changing irradiance conditions with large ramp rates [15]. Fig.…”
Section: B Mppt and Reserved Power Control Of The Boost Converter Unmentioning
confidence: 99%
“…MPPT for photovoltaic is discussed in many studies (Fangrui Liu et al 2008, Femia et al 2008, Fortunato et al 2008, Kim and Kim 2006, Gules et al 2008, Mutoh and Ohno 2006, Park et al 2006, Patel and Agarwal 2008, Scarpa et al 2009, Sera et al 2008, Xiao et al 2006). We proposed a novel method for photovoltaic MPPT based on a neuro-fuzzy algorithm and this algorithm is introduced in our previous work (Kamel et al 2010).…”
Section: Neuro-fuzzy Mppt Controllermentioning
confidence: 99%
“…As illustrated in Fig. 2, MPPT algorithms are typically implemented in a stand-alone fashion by setting the reference voltage (or current) to the DC-DC converter [8][9][10][11][12][13]. The MPPT algorithm must wait for the converter to reach the indicated operating point prior taking any other action, which leads to a relatively slow performance even when the algorithm is optimized [14][15][16].…”
Section: Introductionmentioning
confidence: 99%