Intelligent controlled three-phase squirrel-cage induction generator system using wavelet fuzzy neural network for wind power

An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field-oriented mechanism is implemented for the control of the SCIG system. Then, a...

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Veröffentlicht in:	IET renewable power generation Jg. 7; H. 5; S. 552 - 564
Hauptverfasser:	Lin, Faa-Jeng, Tan, Kuang-Hsiung, Fang, Dun-Yi, Lee, Yih-Der
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage The Institution of Engineering and Technology 01.09.2013 The Institution of Engineering & Technology
Schlagworte:	active power output AC‐DC power converter AC‐DC power convertors Algorithms asynchronous generators backpropagation backpropagation learning algorithm constant‐frequency constant‐voltage DC‐AC power convertors DC‐AC power inverter DC‐link voltage controller electric current control Electric power electric power generation fuzzy neural nets grid‐connected wind power application indirect field‐oriented mechanism Intelligent controlled three‐phase squirrel‐cage induction generator system intelligent WFNN controller machine vector control neurocontrollers phase control power generation control power grids reactive power control reactive power output SCIG tracking controller variable‐frequency variable‐voltage wavelet fuzzy neural network wavelet transforms WFNN training Wind power wind power plants indirect field-oriented mechanism wavelet fuzzy neural network wavelet transforms AC-DC power converter power generation control constant-voltage SCIG Intelligent controlled three-phase squirrel-cage induction generator system WFNN training electric current control grid-connected wind power application backpropagation learning algorithm constant-frequency neurocontrollers machine vector control power grids tracking controller wind power plants variable-frequency intelligent WFNN controller fuzzy neural nets reactive power output electric power generation asynchronous generators DC-AC power inverter DC-link voltage controller DC-AC power convertors variable-voltage backpropagation phase control active power output reactive power control AC-DC power convertors
ISSN:	1752-1416, 1752-1424, 1752-1424
Online-Zugang:	Volltext
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