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Ben Salah C.,University of Sfax | Mimouni M.F.,Research Unit on Study of Industrial Systems and Renewable Energy ESIER | Ouali M.,University of Sfax
Computers and Electrical Engineering | Year: 2015

In this paper a dynamic modeling, simulation, control and energy management of photovoltaic water-pumping network system is presented. A fuzzy-logic controller has been proposed for a real-time control of the system. The controller generates the reference speeds needed for the pulse-width-modulation generator to control each DC/DC boost converter taking into account the water levels in three tanks and the instantaneous value of the solar radiation. The main objectives of the fuzzy-logic controller are the design of an adequate maximum power-point tracker to extract the maximum power, regulate the water in the three tanks and finally ensure the correct operation for all the conversion strings in order to optimize the quantity of pumped water. The system performance under different scenarios has been checked carrying out Matlab/Simulink simulations using a practical load-demand profile and real weather data and comparing them to another control algorithm. © 2015 Elsevier Ltd. All rights reserved. Source


Khiareddine A.,Research Unit on Study of Industrial Systems and Renewable Energy ESIER | Ben Salah C.,University of Sfax | Mimouni M.F.,Research Unit on Study of Industrial Systems and Renewable Energy ESIER
Journal of Renewable and Sustainable Energy | Year: 2013

The use of renewable energy is growing significantly in the world. In front of the growing demand for electric energy, essentially for the needs of remote, desolate, and mountainous regions, photovoltaic systems, especially water pumping systems, are beginning to emerge in large applications. In this sense, the proposed study deals with the problem of the water level regulation in the photovoltaic pumping system. To achieve this aim, a fuzzy logic controller has been developed in order to determine the reference speed needed for vectorial command of induction motor, taking into account the water level in the tank and the variation of solar irradiation. On the one hand, the energy management and control of the photovoltaic subsystem is based on voltage and current control with maximum power point tracking allowing the optimal transfer of power to the pump through two converters, a boost (DC-DC converter) and an inverter (DC-AC converter) are controlled by space vector pulse width modulation. On the other hand, the proposed study provides a comparison between a fuzzy logic controller and an algorithm controller. The latter technique is less successful than the first, but more easily implemented. The string of photovoltaic pumping is simulated under Matlab-Simulink. The results were promising, and yet they remain to be validated in practice. © 2013 AIP Publishing LLC. Source


Khiareddine A.,Research Unit on Study of Industrial Systems and Renewable Energy ESIER | Ben Salah C.,University of Sfax | Mimouni M.F.,Research Unit on Study of Industrial Systems and Renewable Energy ESIER
Solar Energy | Year: 2015

This paper focuses on dynamic modeling, simulation, control and energy management in an agricultural experiment station located at Sahline-Tunisia consisting of a 1.5. kW photovoltaic panel (PV) and a 25. A. h Lead Acid battery storage supplying an induction motor coupled to a centrifugal pump as mechanical load. The cost-optimally design and the new suitable power management approach are the two main objectives. An iterative optimization approach namely, the Deficiency of Power Supply Probability (DPSP), the Relative Excess Power Generated (REPG), the Energy Cost (EC) as well as the Total Net Present Cost (TNPC) have been developed in order to find the optimal configuration of PV/battery. To reach the second object, three new supervisory controllers are designed, a neuro-fuzzy controller, a fuzzy controller and an algorithm controller. In order to show the effectiveness of the first one, a comparison of the three controllers is proposed. The principal objectives of the three supervisory controllers are: (i) the design of an adequate tracking system maximum power point (MPPT) to extract the maximum power which is given by the theory of conservation of energy, (ii) the insurance of the control speed needed for the vectorial control of the induction motor, (iii) the regulation of the water in the tank which is taken as a second storage system and finally (iv) the insurance of the correct operation for all the conversion string in order to optimize the quantity of water pumped. © 2014 Elsevier Ltd. Source

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