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Type: Artigo de periódico
Title: A Wind Energy Generator For Smart Grid Applications Using Wireless-coded Neuro-fuzzy Power Control
Author: Capovilla C.E.
Casella I.R.S.
Sguarezi Filho A.J.
Azcue-Puma J.L.
Jacomini R.V.
Ruppert E.
Abstract: Wind energy is the major driver to obtain an optimized and efficient use of renewable energy in smart grids. To provide balanced supply, demand, and storage of energy in a much more efficient manner than is done today, smart grids require the employment of an advanced communication infrastructure associated to a robust power control and real-time monitoring systems. Towards this objective, we present a wireless-coded power control scheme for doubly fed induction generators operating at variable speed. The proposed system employs adaptive neuro-fuzzy control, quaternary phase shift-keying modulation, and low-density parity check coding techniques to improve the system robustness and reliability in different propagation conditions for remotely transmitting the power control references from the control center to a given aerogenerator.
Editor: Elsevier Ltd
Citation: Computers And Mathematics With Applications. Elsevier Ltd, v. 68, n. 12, p. 2112 - 2123, 2014.
Rights: fechado
Identifier DOI: 10.1016/j.camwa.2013.06.030
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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