Study and evaluation of DC-DC converters in hybrid systems with multiple renewable energy sources
DOI:
https://doi.org/10.26507/paper.4511Keywords:
DC-DC Converters, Intelligent Control, Hybrid Energy Systems, FPGA, Renewable EnergyAbstract
This research reviews the different topologies and the most used intelligent control techniques currently for DC-DC converters in hybrid power generation systems. Additionally, the use of controllers embedded in reconfigurable hardware such as FPGAs (Field-Programmable Gate Array) is proposed to improve the performance of DC-DC converters, taking advantage of the resources of this type of platform that include parallel execution of operations, low energy consumption, high portability, low latency, and high-frequency operation. These features allow the implementation of advanced control techniques, such as those based on neural networks, artificial intelligence, adaptive algorithms, and machine learning, which manage to optimize the operation of power converters in hybrid power generation systems.
Author Biography
Wilson Javier Pérez Holguín, Universidad Pedagógica y Tecnológica de Colombia
Professor at the Pedagogical and Technological University of Colombia, Director of the Research Group on Robotics and Industrial Automation – GIRA
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