Abstract

The real implementation of the maximum power point tracking (MPPT) controllers for the photovoltaic (PV) systems is still a big challenge for researchers working in this field. Often, they use simulation tools to assess the performance of their MPPT algorithms before actual implementation. In this context, this paper aims to propose a trusted simulation of a PV system designed under Proteus software. The proposed PV simulator can be used to verify and evaluate the performance of MPPT algorithms with a closer approximation to the real implementation. The main advantage of this model that it contains a real microcontroller, as can be found in reality, so that same code for the MPPT algorithm used in the simulation will be used in real implementation. In contrast, when using (Powersim Software) PSIM or Matlab/Simulink, the code of the algorithm must be rewritten once the real experiment begins, because these tools don’t provide a microcontroller or an electronic board in which our algorithm can be implemented and tested in the same way as the real experiment. After this section, a modified Hill-Climbing (HC) algorithm is introduced. The proposed algorithm can avoid the drift problem posed by conventional HC under a fast variation in insolation. The simulation results show that this method presents good performance in terms of efficiency (99.21%) and response time (10 ms), which improved by 1.2% and 70 ms respectively compared to the conventional HC algorithm.

Highlights

  • Today, solar energy currently has taken a large part of the market compared with other sources of renewable energy [1,2,3]

  • The latter is composed of a PV panel, a DC-DC converter, an maximum power point tracking (MPPT) controller, and a load

  • The code of this controller is developed firstly in the Arduino software (IDE), and its hexadecimal code is design of a PV system based on Proteus, which can be used as a simulator to test the performances of MPPT algorithms

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Summary

Introduction

Solar energy currently has taken a large part of the market compared with other sources of renewable energy [1,2,3]. This development has pushed many researchers to search for important solutions to increase the PV energy extracted from the PV panels. MPPT techniques [4,5,6,7]. These techniques are used to control a DC-DC converter to extract the maximum power from the PV system. Several GMPPT techniques have been proposed in the literature to make

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