Modeling and management of photovoltaic and fuel cell based alternative power systems


Photovoltaic (PV) systems and fuel cells (FCs) represent interesting solutions as being various power sources with high performance and low emission. This work presents a modeling and management study of two power generators; photovoltaic array and fuel cell primarily based systems. An MPPT approach to optimize the PV system performances is proposed. The PV system consists of a PV array connected to a DC-DC buck converter and a resistive load. A most power point tracker controller is needed to extract the utmost generated power. Based mostly on Incremental Conductance (INC) principle, the idea of the proposed control is to use a Fuzzy Logic Controller (FLC) that permits the selection of the duty cycle step size which is was mounted in standard MPPT algorithms. The variable step is computed in step with the price of the PV power-voltage characteristic slope. The second working system includes a controlled DC-DC converter fed by a proton exchange membrane fuel cell (PEMFC) and supplies a DC bus. The mathematical model of the PEMFC system is given. The converter duty cycle is adjusted so as to manage the DC bus voltage. Obtained simulation results validate the management algorithms for both of studied power systems.

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