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Open AccessArticle

Optimized Adaptive Perturb and Observe Maximum Power Point Tracking Control for Photovoltaic Generation

by 1,†, 2,†, 2,* and 3,†
1
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
2
Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
3
School of Electronic, Electrical and Computer Engineering, University of Birmingham, Gisbert Kapp Building, Birmingham B15 2TT, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Enrico Sciubba
Energies 2015, 8(5), 3418-3436; https://doi.org/10.3390/en8053418
Received: 14 January 2015 / Revised: 20 March 2015 / Accepted: 21 April 2015 / Published: 27 April 2015
The power extracted from PV arrays is usually maximized using maximum power point tracking algorithms. One of the most widely used techniques is the perturb & observe algorithm, which periodically perturbs the operating point of the PV array, sometime with an adaptive perturbation step, and compares the PV power before and after the perturbation. This paper analyses the most suitable perturbation step to optimize maximum power point tracking performance and suggests a design criterion to select the parameters of the controller. Using this proposed adaptive step, the MPPT perturb & observe algorithm achieves an excellent dynamic response by adapting the perturbation step to the actual operating conditions of the PV array. The proposed algorithm has been validated and tested in a laboratory using a dual input inductor push-pull converter. This particular converter topology is an efficient interface to boost the low voltage of PV arrays and effectively control the power flow when input or output voltages are variable. The experimental results have proved the superiority of the proposed algorithm in comparison of traditional perturb & observe and incremental conductance techniques. View Full-Text
Keywords: Maximum Power Point Tracking (MPPT); Perturb & Observe (P&O); photovoltaic generation; push-pull converter Maximum Power Point Tracking (MPPT); Perturb & Observe (P&O); photovoltaic generation; push-pull converter
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Piegari, L.; Rizzo, R.; Spina, I.; Tricoli, P. Optimized Adaptive Perturb and Observe Maximum Power Point Tracking Control for Photovoltaic Generation. Energies 2015, 8, 3418-3436.

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