(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 1, 2017 A New Optimum Frequency Controller of Hybrid Pumping System: Bond Graph Modeling-Simulation and Practice with ARDUINO Board MEZGHANI Dhafer Dept. of Physics, Tunis El Manar University, Faculty of Sciences, Tunisia OTHMANI Hichem Dept. of Physics, Tunis El Manar University, Faculty of Sciences, Tunisia SASSI Fares Dept. of Physics, Tunis El Manar University, Faculty of Sciences, Tunisia MAMI Abdelkader Dept. of Physics, Tunis El Manar University, Faculty of Sciences, Tunisia DAUPHIN-TANGUY Geneviève Ecole Centrale de Lille, L.A.G.I.S. UMR CNRS 8146, BP 48, 59651 Villeneuve d’Ascq, Cedex France Abstract—The strategy of rural development in Tunisia needs to include as one of its priorities: the control of water. In seeking solutions for the energy control dedicated to pumping, it seems interesting to know the benefits of a new technique based on the complementarities of two renewable energy sources such as solar and wind power. The climate’s dependence requires a complex modelling and more optimization methods for controlling of hybrid system. Moreover, in recent years, technological progression at hardware and software enables researchers to process these optimization problems using embedded platforms. For this paper, we apply the approach bond graph to model a complex system. Our hybrid pumping installation contains a photovoltaic generator, a wind source, converters and an induction motor-pump group. The numerical closed-loop simulation of the complete model in an appropriate environment allows us to generate an optimisation control whose the appropriate frequency depends on meteorological conditions (wind speed, insulation and temperature). The implementation of this control and the experimental measurements validate the optimum efficiency and verify operation reliability of our hybrid structure. Keywords—Hybrid power systems; Control systems; Optimization; Photovoltaic; wind turbine I. INTRODUCTION The decentralized electricity production by renewable energy sources, provides greater consumer supply security while respecting the environment. However, the random nature of these sources requires us to establish design rules and use these systems to exploit them. The majority of work is focused on the application of hybrid systems for the electrification of isolated consumers. Indeed, [1] presents a sizing strategy, based on a long-term energy production cost analysis, able to predict the optimum configuration of a hybrid PV-wind-diesel stand-alone system, which was tested on an isolated mountain chalet in Italy. As is the case of [2], the authors present modeling and optimization of a photovoltaic/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Iran. For this location, different hybrid systems are studied and compared in terms of cost. For cost analysis, a mathematical model is introduced for each system's component and then, in order to satisfy the load demand in the most cost-effective way, particle swarm optimization algorithm are developed to optimally size the systems components. In addition, to decrease the cost and to increase the production of a hybrid system, [3] use a statistic distributions for estimation of the energy production of stand-alone hybrid wind turbine- photovoltaic system in southern Tunisia, So, the use of renewable energy (hybrid system: wind and photovoltaic) in these regions would be of great benefit, especially in remote locations. Hybrid systems can increase electrical energy for private consumers and small business and/or can be used to supply many applications as water pumping [4]. The complexity of the dynamic description of pumping stations and the many parameters involved in these systems have forced researchers to develop models based on different approaches. These approaches can be experimental, analytical or graphical approaches [5, 6]. All these approaches are intended to facilitate the task of managing these systems. In fact, the modeling and simulation are crucial in the design and analysis of hybrid systems. In the analysis and design of engineering problems, the most important thing is to perfectly know the process of technology. The success of the use of computer based tools to assist in the design, control, monitoring and modeling of these systems is critically dependent on the ability to develop accurate models for simulating, and verifying system behavior. Moreover, it is well known that the quality of the designed control method directly depends on the model accuracy. In literature, several methods for obtaining model could be found, among these methods, we quote the bond graph approach. This graphical methodology is a modeling approach where component energy ports are connected by bonds which specify the transfer of energy between system components [7]. In another words, the bond graph presents a 78 | Page www.ijacsa.thesai.org