A wind energy generator for smart grid applications using wireless-coded neuro-fuzzy power control

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 as...

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Published inComputers & mathematics with applications (1987) Vol. 68; no. 12; pp. 2112 - 2123
Main Authors Capovilla, C.E., Casella, I.R.S., Sguarezi Filho, A.J., Azcue-Puma, J.L., Jacomini, R.V., Ruppert, E.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2014
Subjects
ANFIS
Artificial neural networks
Control systems
DFIG
Fuzzy logic
Modulation
Power control
Smart grid
Variable speed
Wind energy
Wireless communication
Wireless communication
Wind energy
ANFIS
Power control
Smart grid
DFIG
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0898-1221
1873-7668
DOI:10.1016/j.camwa.2013.06.030