Dhafer Mezghani

Improving the Control Strategy of a Standalone PV Pumping System by Fuzzy Logic Technique

This work aims to develop an accurate model of an existing Photovoltaic Pumping System (PvPS) which is composed of an Ebara Pra-0.50T Asynchronous Moto-Pump (AMP) fed by Kaneka GSA-60 photovoltaic panels via a Moeller DV-51 speed drive. The developed model is then used to compare the performance of the system with its original control strategy based on classical indirect vector control strategy using PI speed controller and the proposed new control strategy based on Fuzzy Logic control technique for speed control and MPPT system. The obtained results of comparative simulations, induced in different dramatic variation of working conditions, show that the developed control strategy brought major enhancements in system performance.

Energy Management Strategy of a PV/Fuel Cell/Supercapacitor Hybrid Source Feeding an off-Grid Pumping Station

This work aims to develop an accurate energy management strategy for a hybrid renewable energy system feeding a pumping station. A developed model under Simulink environment is used to compare the performance of the pumping system when it is only fed by a photovoltaic generator, by a hybrid photovoltaic and fuel cell system and finally by a hybrid photovoltaic, fuel cell and a supercapacitor system. The developed control strategy is based on Fuzzy Logic control technique. Several simulations in different dramatic scenarios of working conditions show that the developed control strategy brought major enhancements in system performance and that the use of the supercapacitor makes economic profits by reducing the fuel cell production during critical solar irradiation periods.

Fuzzy logic control scheme for a 3 phased asynchronous machine fed by Kaneka GSA-60 PV panels

This paper provides different results of simulations developed with MATLAB-SIMULINK environment consisting of modeling and controlling a photovoltaic system composed by Kaneka GSA-60 panels and supplying a 3 phased asynchronous machine. In order to maintain the best possible performance for a standalone functioning in different weather conditions; without using storage solutions; we have developed different parts of controlling system. The presented results show simulations of the developed model and the controlling system ; based on fuzzy logic technique; comparing its performance with and without Maximum Power Point Tracking system in different scenarios of solar irradiation and temperature variations.

Development of a MPPT controller for hybrid wind/photovoltaic system based on SOPC and NIOS II

In this paper is developed a MPPT controller for a photovoltaic/wind system and implemented on the ALTERA DE0-NANO board. The SOPC is used to implement the PI controller and the PWM generator. The MPPT algorithm is implemented with a NIOS II processor. The aim of the MPPT unit is to change the duty cycles of the IGBTs to make DC-DC converters of the photovoltaic/wind installation work at maximum power. The MPPT controller system becomes a detached and highly integrated solution.

Design and Simulation of Robust Controllers for Power Electronic Converters used in New Energy Architecture for a (PVG)/ (WTG) Hybrid System

The use of the combination of photovoltaic energy source and the wind energy source as a hybrid configuration has become an alternative solution to produce power energy to fed industrial and domestic applications. In order to fully exploit the energy provided by both sources and ensure a very high efficiency it is necessary to oblige the hybrid power system to produce the maximum possible power. Indeed, in the applications based on renewable energy, power converters are used as an essential element that can help the global energy system to extract maximum power. This paper focuses on developing and optimising of a new architecture for hybrid photovoltaic generator (PVG) / wind turbine generator (WTG) power energy. To obtain the maximum power, two kinds of MPPT procedures have been used: the first is based on MPPT (P&O) sliding mode control (MPPTSMC) for the photovoltaic generator (PVG), and the second is a control based on MPPT current control (MPPTCC) approach and that for the wind turbine generator (WTG). In addition, the proposed hybrid power system can work very well under changes of climatic conditions, such as irradiation and wind speed. On the other hand, in order to maintain dc-link at a desired and stable value, during these variations, we have integrated a boost converter controlled by a sliding mode controller (SMC). A simulation model for the hybrid power system has been carried out using PSIM tools.

Enhancing classic IFOC with Fuzzy Logic technique for speed control of a 3∼ Ebara Pra-50 moto-pump

This work presents the results of integrating a Fuzzy Logic controller instead of a classic PI controller in an IFOC speed regulation scheme dedicated for a 3 phased asynchronous moto-pump type Ebara Pra-50. A comparative study between the two different techniques is presented where a simulations by simulating the developed model of the studied system under Matlab-Simulink environment. The obtained results shows the performance of the speed control system in different scenarios and the utility of the developed Fuzzy controller.