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

Autor: Helbert Eduardo Espitia, Iván Machón-González, Hilario López-García, Guzmán Díaz
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Complexity, Vol 2019 (2019)
Druh dokumentu: article
ISSN: 1076-2787
1099-0526
DOI: 10.1155/2019/1610898
Popis: 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.
Databáze: Directory of Open Access Journals
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