JCMPSISSN:2582-6085

Comparative Study of P&O and INC MPPT Algorithms for Photovoltaic Systems

Abstract

The maximum power point tracking (MPPT) method is usually used in photovoltaic (PV) systems to increase the electric energy production in a photovoltaic generator (PVG) and reduce the PV array cost. The output of the photovoltaic (PV) system depends on the temperature, solar radiation, and impedance of the load. The value for the maximum power point (MPP) is not constant. The principle of this technique is to maximize the electric energy production of a photovoltaic generator (PVG). In this paper, we present à comparative simulation study of two important MPPT algorithms incremental conductance (INC) and perturb and observe (P&O). using the MATLAB/Simulink for performance evaluation by a 50W photovoltaic (PV) array. Some of the important parameters such as voltage, current, and output power of each method are traced for both algorithms. It is demonstrated that the incremental conductance-based MPPT tracking provides more accurate results in less time than the P&O algorithm-based MPPT.

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DOI :https://doi.org/10.46253/jcmps.v6i3.a1

Author information

Affiliations

Laboratory of Valorisation and Technology off Sahara Resources (VTRS), University of El Oued, El Oued, Algeria

Department of Electrical Engineering, University of EL-Oued, Algeria

Department of Electrical Power & Machines, Faculty of Engineering, Zagazig University, Egypt

Publisher Information

  • Received

    13 June

  • Revised

    20 June

  • Accepted

    7 July

Keywords
Photovoltaic (PV), MPP, Perturb and observe, Simulink, MPPT, fuzzy logic, controller.

Publisher : Resbee Publishers