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Complexity
Volume 2019, Article ID 1610898, 16 pages
https://doi.org/10.1155/2019/1610898
Research Article

Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems

1Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
2Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Campus de Viesques, Gijón/Xixón, Spain

Correspondence should be addressed to Helbert Eduardo Espitia; oc.ude.latirtsidu@caitipseeh

Received 21 October 2018; Revised 30 January 2019; Accepted 7 February 2019; Published 5 March 2019

Guest Editor: Aitor J. Garrido

Copyright © 2019 Helbert Eduardo Espitia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Systems of distributed generation have shown to be a remarkable alternative to a rational use of energy. Nevertheless, the proper functioning of them still manifests a range of challenges, including both the adequate energy dispatch depending on the variability of consumption and the interaction between generators. This paper describes the implementation of an adaptive neurofuzzy system for voltage control, regarding the changes observed in the consumption within the distribution system. The proposed design employs two neurofuzzy systems, one for the plant dynamics identification and the other for control purposes. This focus optimizes the controller using the model achieved through the identification of the plant, whose changes are produced by charge variation; consequently, this process is adaptively performed. The results show the performance of the adaptive neurofuzzy system via statistical analysis.