Passivity-Based Control of photovoltaic-wind hybrid system with Euler-Lagrange modeling

Hybridization of several types of renewable energy sources is an interesting alternative to ensure autonomy in a stand-alone system, since it compensates intermittent production of each one. Besides, power production has to be maximized, with the best economical control strategy. So, in this paper, a control strategy based on Euler-Lagrange modeling is proposed, in order to manage a photovoltaic-wind hybrid power system with batteries storage. Indeed, this method handles energy exchanges directly, and thus enables to design more energy efficient controllers. In our paper, wind generator is managed by Passivity-Based Control (PBC), and photovoltaic (PV) generator by Passivity-Based/Sliding Mode Control (SMC). A Maximum Power Point Tracking algorithm (MPPT) is incorporated directly in the controller of each source, in order to maximize power production. Finally, control strategy operates very well and is verified by simulation. Results show that for each power source, maximum power point is reached quickly, in spite of hybridization and variations of wind speed, solar irradiance or load demand.