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Intelligent control of doubly‐fed induction generator systems using PIDNNs
Author(s) -
Lin FaaJeng,
Hwang JonqChin,
Tan KuangHsiung,
Lu ZongHan,
Chang YungRuei
Publication year - 2012
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.426
Subject(s) - control theory (sociology) , stator , rotor (electric) , converters , transient (computer programming) , induction generator , controller (irrigation) , grid , engineering , control engineering , electric power system , computer science , generator (circuit theory) , control system , power (physics) , voltage , control (management) , electrical engineering , physics , agronomy , geometry , mathematics , quantum mechanics , artificial intelligence , biology , operating system
An intelligent control for a stand‐alone doubly‐fed induction generator (DFIG) system using a proportional‐integral‐derivative neural network (PIDNN) is proposed in this study. This system can be applied as a stand‐alone power supply system or as the emergency power system when the electricity grid fails for all sub‐synchronous, synchronous, and super‐synchronous conditions. The rotor side converter is controlled using field‐oriented control to produce 3‐phase stator voltages with constant magnitude and frequency at different rotor speeds. Moreover, the grid side converter, which is also controlled using field‐oriented control, is primarily implemented to maintain the magnitude of the DC‐link voltage. Furthermore, the intelligent PIDNN controller is proposed for both the rotor and grid side converters to improve the transient and steady‐state responses of the DFIG system for different operating conditions. Both the network structure and online learning algorithm are introduced in detail. Finally, the feasibility of the proposed control scheme is verified through experimentation. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society