NDLI: TS-fuzzy controlled DFIG based wind energy conversion systems

Content Provider	IEEE Xplore Digital Library
Author	Mishra, S. Mishra, Y. Fangxing Li Dong, Z.Y.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering at IIT Delhi, India (Mishra, S.) \|\| School of ITEE, The University of Queensland, Australia and presently also a visiting scholar at The University of Tennessee, Knoxville, TN, USA (Mishra, Y.) \|\| Department of Electrical Engineering, The University of Tennessee, Knoxville, TN, USA (Fangxing Li) \|\| Department of Electrical Engineering, Hong kong Polytechnic University, Hong Kong (Dong, Z.Y.)
Abstract	This paper focuses on the implementation of the TS (Tagaki-Sugino) fuzzy controller for the active power and the DC capacitor voltage control of the Doubly Fed Induction Generator (DFIG) based wind generator. DFIG system is represented by a third-order model where electromagnetic transients of the stator are neglected. The effectiveness of the TS-fuzzy controller on the rotor speed oscillations and the DC capacitor voltage variations of the DFIG damping controller on converter ratings of the DFIG system is also investigated. The results of the time domain simulation studies are presented to elucidate the effectiveness of the TS-fuzzy controller compared with conventional PI controller in the DFIG system. The proposed TS-fuzzy controller can improve the fault ride through capability of DFIG compared to the conventional PI controller.
Starting Page	1
Ending Page	7
File Size	2920193
Page Count	7
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Wind energy Voltage control Capacitors Induction generators Fuzzy control Wind power generation DC generators Power generation Wind energy generation damping controller Doubly Fed Induction Generator (DFIG) Wind Turbine (WT) dynamic system stability TS fuzzy controller
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Control of a grid connected doubly-fed induction generators for wind energy conversion

Fuzzy optimal control of doubly fed induction wind power generator systems

Fault Ride-through Performance of Wind Turbine with Doubly Fed Induction Generator

Improving Stability of a DFIG-Based Wind Power System With Tuned Damping Controller

Small signal stability analysis of a DFIG based wind power system with tuned damping controller under super/sub-synchronous mode of operation

Design of damping controllers for doubly fed induction generators using eigenvalue sensitivities

Fuzzy-based direct power control of doubly fed induction generator-based wind energy conversion systems

Field Validation of a Doubly Fed Induction Generator (DFIG) Model

Dynamic aggregation of doubly-fed induction generators (DFIGs) for stability analysis of wind power systems

TS-fuzzy controlled DFIG based wind energy conversion systems

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