Abstract

The Maximum Power Point Tracking (MPPT) algorithms are applied to obtain maximum efficiency under different atmospheric conditions in photovoltaic (PV) systems. Perturb&Observe (PO) and Incremental Conductance (INC) methods are the oldest algorithms used among MPPT methods. Field Programmable Gate Arrays (FPGA) are used especially in applications requiring high speed. FPGA in-the-loop feature is used to test algorithms designed in MATLAB/Simulink environment. In this study, PO and INC methods have been designed to work in FPGA environment. Both algorithms have been tested under different radiation conditions using FPGA-in-the-loop feature. The FPGA in-the-loop simulation result of PO and INC methods has been graphically shown. In this study, Altera DE2-115 development board was used to test PO and INC MPPT algorithms. On the other hand, PO and INC methods were synthesized using the Quartus-II program. Comparisons of simplicity of algorithms were made according to synthesis results. Thus, by using the FGPA in-the-loop feature and performing the synthesis process, both the algorithms were tested and the areas covered by the algorithms in the FPGA were compared.

Highlights

  • SOLAR ENERGY is used extensively in renewable energy systems

  • The areas covered by Perturb and Observe (PO) and Incremental Conductance (INC) algorithms, which are among the conventional Maximum Power Point Tracking (MPPT) algorithms, in an Field Programmable Gate Arrays (FPGA) and their performances were compared

  • PO and INC MPPT algorithms were tested in the MATLAB/Simulink environment by using the FIL feature

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Summary

INTRODUCTION

SOLAR ENERGY is used extensively in renewable energy systems. due to the low efficiency of photovoltaic (PV) systems, various algorithms have been developed to obtain maximum energy from PV modules [1,2]. Compared to the conventional PO method, the proposed method was working with high efficiency under fastchanging atmospheric conditions [16] In addition to these methods, many different modified MPPT algorithms have been developed. A new soft-MPPT algorithm that could be realized with low-level microprocessors and used in conjunction with both PO and INC algorithms was proposed [21] Both simulation and experimental study of the INC method used in conjunction with the CUK converter were carried out and compared [22]. The main purpose of adaptive MPPT algorithms is to ensure the improvement of dynamic performance in both the transient and steady state Using these algorithms, maximum power point monitoring is ensured with high efficiency under variable atmospheric conditions [32,33,34,35]. The saturation current (I0) of the diode is given in Equation 5

PHOTOVOLTAIC SYSTEM
PO AND INC MPPT METHODS
CONCLUSIONS

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