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Energies 2018, 11(3), 567; https://doi.org/10.3390/en11030567

Smart Global Maximum Power Point Tracking Controller of Photovoltaic Module Arrays

1
Department of Electrical Engineering, National Changhua University of Education, Changhua 50074, Taiwan
2
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
*
Author to whom correspondence should be addressed.
Received: 15 January 2018 / Revised: 13 February 2018 / Accepted: 19 February 2018 / Published: 6 March 2018
(This article belongs to the Section Energy Fundamentals and Conversion)
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Abstract

This study first explored the effect of shading on the output characteristics of modules in a photovoltaic module array. Next, a modified particle swarm optimization (PSO) method was employed to track the maximum power point of the multiple-peak characteristic curve of the array. Through the optimization method, the weighting value and cognition learning factor decreased with an increasing number of iterations, whereas the social learning factor increased, thereby enhancing the tracking capability of a maximum power point tracker. In addition, the weighting value was slightly modified on the basis of the changes in the slope and power of the characteristic curve to increase the tracking speed and stability of the tracker. Finally, a PIC18F8720 microcontroller was coordinated with peripheral hardware circuits to realize the proposed PSO method, which was then adopted to track the maximum power point of the power–voltage (P–V) output characteristic curve of the photovoltaic module array under shading. Subsequently, tests were conducted to verify that the modified PSO method exhibited favorable tracking speed and accuracy. View Full-Text
Keywords: photovoltaic module array; maximum power point tracking; particle swarm optimization; photovoltaic module array photovoltaic module array; maximum power point tracking; particle swarm optimization; photovoltaic module array
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Chang, L.-Y.; Chung, Y.-N.; Chao, K.-H.; Kao, J.-J. Smart Global Maximum Power Point Tracking Controller of Photovoltaic Module Arrays. Energies 2018, 11, 567.

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