Arreglo Inteligente de Concentración Solar FV para MPPT usando Tecnología FPGA

Abstract

The present research includes the study of photovoltaic systems and current techniques for maximum power point tracking, in relation to irradiance and temperature, a flap of proposing a reconfigurable PV scheme, simplifying the number of actuator components in the arrangement solar monitoring and regenerative heat recovery circuits, applying neural control in the adaptation of the coefficients of efficiency of the stages of the system. The method consists of identifying the correspondence of the SFVs with the LFSR circuit architecture and the identification of adaptive coefficients, in order to generalize the optimization model on a parameterized ANN. The VHDL description of the architecture was made for its synthesis on FPGA technology, in order to efficiently deal with the computational complexity, parallel processing and technical-environmental feasibility of the design. The results present an alternative technique based on self-similar circuits, with stages of adaptive gain, storage and configurable feedback. This research leads to the concept of intelligent concentration systems, which provides a valuable model, which can be applied in the area of engineering, design and scientific research.