Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 41, Pages: 1-9
Guillermo Valencia Ochoa1 , Camilo Blanco2 , Carlos Martinez1 and Erni Ramos1
1Mechanical Engineering, Research Group in Efficient Energy Management, Kai, College of Engineering, Universidad del Atlantico, Atlantico, Colombia; [email protected], [email protected], [email protected] 2Chemical Engineering, Research Group in Efficient Energy Management, Kai, College of Engineering, Universidad del Atlantico, Atlantico, Colombia; [email protected]
Objectives: Application of a fuzzy adaptive control to a commuted Hybrid Electric Power Generation System (HEPGS) for different case studies. Methods: The system is integrated by a 400 W wind turbine, a Polymer Electrolyte Membrane Fuel Cell (PEMFC), and a solar photovoltaic panel which represent the three sources of energy of the system, where the oxygen and hydrogen flow are controlled variables, and the wind power, solar power and electrical demand are uncontrolled variables considering two meteorological station, Puerto Bolivar and Ernesto Cortissoz. Findings: The transient responses of the system with respect to the variation of the solar radiation and wind velocity, regarding to the meteorological and geographical conditions of the zone, are presented as results of the manipulation of the reactant flow in the PEMFC. It was possible to propose an adaptive fuzzy PID which responses were compared to the standard responses of achieved by a classical PID controller, the responses of the fuzzy adaptive PID were 37,4 and 45,4% improved for the meteorological stations Puerto Bolivar and Ernesto Cortissoz respectively for an electrical demand of 200 MW. Finally, a fuzzy logic control model was proposed and tested, demonstrating an improved performance than a classical PID. Application: These systems are able to be applied in rural zones where the on grid energy systems are not supplied. In addition, a hybrid energy system may be improved through the implementation of novel control techniques, so that can be possible to increase the efficiency and improve the performance of the HEPGS.
Keywords: Adaptive Fuzzy PID, Fuel Cells, Hybrid Energy System, Solar Energy, Wind Energy
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