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Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems
Joint Authors
Espitia, Helbert Eduardo
Machón-González, Iván
López-García, Hilario
Díaz, Guzmán
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-05
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Espitia, Helbert Eduardo& Machón-González, Iván& López-García, Hilario& Díaz, Guzmán. 2019. Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems. Complexity،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1131081
Modern Language Association (MLA)
Espitia, Helbert Eduardo…[et al.]. Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems. Complexity No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1131081
American Medical Association (AMA)
Espitia, Helbert Eduardo& Machón-González, Iván& López-García, Hilario& Díaz, Guzmán. Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems. Complexity. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1131081
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131081