High-Performance Standalone Photovoltaic Water Pumping System Using Induction Motor

Mustapha Errouha,Aziz Derouich,Najib El Ouanjli,Saad Motahhir

doi:10.1155/2020/3872529

Abstract

This work is aimed at achieving a simple and reduced-cost configuration of photovoltaic (PV) water pumping system (PVWPS) using an induction motor with high efficiency. The proposed PV system is composed of two stages of converters which the first one ensures the maximum power point by controlling the duty ratio of boost converter using variable step size incremental conductance (VSS INC) technique. Fuzzy logic control based on direct torque control is proposed to serve the purpose of operating an induction motor. Moreover, the combining of these proposed control strategies has been never discussed. The proposed control scheme is modeled and simulated in detail under MATLAB/Simulink software to evaluate its performance under fast variations of irradiance and daily climatic profile. The obtained simulation results using the suggested control strategies are compared to those using the most used method in the literature (variable step size perturb and observe (VSS P&O) algorithm). The simulation results indicate that the proposed PVWPS performed best in terms of the time of response; pumped water, flux ripples, and the stator currents are reduced.

Highlights

With the increasing use of electricity and cost diesel, finding a promising alternative to power a pumping system is required
The maximum power point tracking (MPPT) algorithms can be classified into three major groups [6]: (i) conventional methods including constant voltage controller (CVC) method, perturb and observe (P&O) method, incremental conductance (IC) method; these kinds of algorithms use PV current, PV voltage, irradiance, and temperature for maximum power extraction and they are characterized by its simple implementation; (ii) artificial intelligence-based methods including fuzzy logic controller technique, artificial neural network control strategy, and adaptive neurofuzzy inference method
It can be seen that variable step size incremental conductance (VSS incremental conductance (INC)) provides a lower total harmonic distortion (THD) in comparison with the variable step size perturb and observe (VSS P&O)

Summary

Introduction

With the increasing use of electricity and cost diesel, finding a promising alternative to power a pumping system is required. The MPPT algorithms can be classified into three major groups [6]: (i) conventional methods including constant voltage controller (CVC) method, perturb and observe (P&O) method, incremental conductance (IC) method; these kinds of algorithms use PV current, PV voltage, irradiance, and temperature for maximum power extraction and they are characterized by its simple implementation; (ii) artificial intelligence-based methods including fuzzy logic controller technique, artificial neural network control strategy, and adaptive neurofuzzy inference method These algorithms have fast response and good MPP tracking accuracy and offer better performance than the conventional methods but they are complex to implement; (iii) hybrid methods including modified perturb and observe method (modified P&O), PI-modified fuzzy logic controller (PI-FLC) method, and neural-fuzzy logic (N-FL) method; these algorithms combine the conventional and artificial intelligence-based methods to achieve greater efficiency and tracking accuracy

Objectives

Results

Conclusion