Informatics Publishing Limited

Guillermo Valencia Ochoa ¹, Camilo Blanco ², Carlos Martinez ¹, Erni Ramos ¹

Affiliations
1 Mechanical Engineering, Research Group in Efficient Energy Management, Kai, College of Engineering, Universidad del Atlantico, Atlantico, CO
2 Chemical Engineering, Research Group in Efficient Energy Management, Kai, College of Engineering, Universidad del Atlantico, Atlantico, CO

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

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Jonathan Fabregas Villegas ¹, Guillermo Valencia Ochoa ², Marley Vanegas Chamorro ³

Affiliations
1 Ms. Ing. Mecánico, Grupo Interdisciplinario de InvestigaciónenEnergía y Medio Ambiente, GIIMA, Facultad de Ingeniería, Universidad Autónoma del Caribe
2 Ms. Ing. Mecánico, Grupo de Investigación Gestión eficiente de energía, Kaí, Facultad de Ingeniería, Universidad del Atlántico
3 PhD. Ing. Químico, Grupo de Investigación Gestión eficiente de energía, Kaí, Facultad de Ingeniería, Universidad del Atlántico

Abstract

Background/Objectives: Efficient energy management and its rational use have contributed to the development of statistical studies in the field of the wind resources. Methods: Based on the measurement of wind’s direction and velocity in the Colombian Caribbean Region, in order to promote the implementation of wind farms, capable to supply energy to the national grid system. Findings: These studies are conducted based on the hourly, monthly, and annual characterization, additional to the application of the autocorrelation function for the study of wind persistency and the calculation of the probability of density functions such as the Normal, Gamma, Rayleigh, and Weibull appliedto historical data recorded between 2003-2013 by the Instituto de Hidrología, Metereología y EstudiosAmbientales de Colombia (IDEAM) for the departments of Cesar and Magdalena. Application: To achieve a rational use of wind energy, it is necessary to analyze the wind obtained in the weather stations when applying the analysis of wind persistency and Weibull distribution.

Keywords

Autocorrelation Function, Probability Density Function, Wind Persistency, Wind Velocity, Wind Potential

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