Abstract
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
Highlights
The aim of this research is to performance an evaluation of a multivariable adaptive fuzzy control applied to a power generation hybrid energy systems integrated by a wind turbine, a solar cell and a PEM, where the controlled variables are hydrogen flow and oxygen flow entering to the fuel cell in order to compensate the variations due to disturbances presented by uncontrolled variables such as the wind velocity and solar irradiance, highly influenced by geographical and meteorological conditions according to the location of the meteorological stations Puerto Bolivar and Ernesto Cortissoz located in the departments of La Guajira and Atlantico respectively, and the electrical demand of the target population[11]
The results for voltage and current through the time obtained from the control process of an adaptive fuzzy PID, a fuzzy logic control and, a classical PID are presented and compared for the meteorological stations as shown in Figure 9 and for Ernesto Cortices, and Figures and for Puerto Bolivar
The design and utilization of fuzzy logic controllers works as a reference point for comparison, the inclusion of fuzzy logic controllers in this research allows verifying the better performance of fuzzy controllers over the classical controllers
Summary
The application of new control methods based on algorithms of fuzzy adaptive controllers represents one of the most relevant industrial fields in recent years[1,2,3], due to the fact that this control method allows to get a better performance and optimization of the available resources[4,5,6], it is an important factor in the cost reduction associated to industrial process and unnecessary raw material expenses[2,7,8].Most of the currently used control strategies are based on the rules that govern the classical PID which have demonstrated a good performance in hybrid systems control for a long time[8,9]. The aim of this research is to performance an evaluation of a multivariable adaptive fuzzy control applied to a power generation hybrid energy systems integrated by a wind turbine, a solar cell and a PEM, where the controlled variables are hydrogen flow and oxygen flow entering to the fuel cell in order to compensate the variations due to disturbances presented by uncontrolled variables such as the wind velocity and solar irradiance, highly influenced by geographical and meteorological conditions according to the location of the meteorological stations Puerto Bolivar and Ernesto Cortissoz located in the departments of La Guajira and Atlantico respectively, and the electrical demand of the target population[11].
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