Peak Power Tracking Technique for a Small-Scale Photovoltaic System

Amine Daoud*
* Department of Electronics, Faculty of Electrical Engineering, University of Sciences and Technology of Oran, Oran, Algeria.
Periodicity:November - January'2019
DOI : https://doi.org/10.26634/jps.6.4.16047

Abstract

A photovoltaic (PV) generator can directly transform the sun's rays into usable electric power. The power-voltage characteristic of PV generator is highly nonlinear and its optimal power point varies with sunlight intensity and temperature. Thus, to increase the efficiency of a PV system, it is important to track the optimal power point instantly. This paper presents a simple variable step-size maximum power point tracking (MPPT) technique for a small-scale PV system. The latter is composed of a PV array, a DC/DC power converter, and a DC motor-pump. Furthermore, using this technique, only the output voltage of the switching converter needs to be sensed in order to track the optimal power point. Compared with classical Perturbation & Observation (P&O) technique, the proposed MPPT technique can largely improve the MPPT efficiency and the total volume of water pumped a day. Also for comparison purpose, the artificial neural network (ANN) based MPPT technique is addressed in this manuscript. Moreover, the MPPT techniques considered in this study are applied to a solar-powered water pumping system under different climate conditions. Finally, mathematical modeling and computer simulations of such small-scale PV system are performed using the MATLAB environment.

Keywords

P&O MPPT Technique, Variable Step-size, ANN, DC/DC Power Converter, Duty Cycle, PV Array.

How to Cite this Article?

Daoud, A. (2019). Peak Power Tracking Technique for a Small-Scale Photovoltaic System. i-manager’s Journal on Power Systems Engineering, 6(4), 22-36. https://doi.org/10.26634/jps.6.4.16047

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