Salazar-Llinas, Andres C.

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Analysis and fpga implementation of dynamical maximum power point tracking methods for photovoltaic-fuel cell hybrid systems
(2011) Salazar-Llinas, Andres C.; Ortiz-Rivera, Eduardo I.; College of Engineering; Colucci, Jose; Castro, Marcel; Department of Electrical and Computer Engineering; Colón, Silvestre
This work presents the analysis and implementation, on a Field Programmable Gate Array (FPGA) device, of three different Maximum Power Point Tracking(MPPT) methods for Photovoltaic(PV) systems. The system analyzed in this document is composed of a PV array connected to a power converter and a DC motor as the electric load. The MPPT methods performances under variations in the load torque conditions and under environmental changes are shown. A control structure is pro- posed in order to regulate the DC motor speed and the maximum power when a hybrid renewable energy system is used. The hybrid energy system is composed ofa PV array as primary power source and a Fuel Cell(FC) stack as an auxiliary or secondary power source. In cases where the PV array cannot provide the enough power, for instance low irradiance levels or a higher demand in the load torque, the FC stack power is controlled to guarantee the maximum power and the motor speed regulation. The digital control structure performance was simulated using real environmental data for irradiance and temperature. An FPGA implementation of this control structure is also described in this document.