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Adaptive neuro-fuzzy controller for grid voltage dip compensations of grid connected DFIG-WECS

Amin, Ifte Khairul and Nasir Uddin, Mohammad and Hannan, Mahammad Abdul and Alam, A. H. M. Zahirul (2019) Adaptive neuro-fuzzy controller for grid voltage dip compensations of grid connected DFIG-WECS. In: 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 12th-15th May 2019, San Diego, CA, USA, USA.

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This paper presents an adaptive neuro-fuzzy controller (NFC)to deal with grid voltage dip conditions for grid-connected operation of doubly fed induction generator (DFIG)driven wind energy conversion system (WECS). Due to the partial scale power converters, wind turbines based on DFIG are very sensitive to grid disturbances. Current saturation at the rotor side converter (RSC)and overvoltage at the dc-link are the major concerns of DFIG driven WECS during grid-voltage fluctuation. In synchronous reference frame, an oscillatory stator flux appears during voltage dip and it is difficult to suppress with conventional proportional-integral (PI)controllers considering nonlinear system dynamics. Therefore, an adaptive-network fuzzy inference system based NFC is proposed in this paper to handle the system uncertainties and minimize the effect of grid voltage fluctuations. During normal operation, the proposed controller aims to regulate the currents as demanded by the reference real and reactive power. Under voltage dip condition, the controllers adjust the positive sequence d-q axis current components both at the grid and rotor sides by supplying required reactive power to the grid. The negative sequence reference currents at rotor end actuate the demagnetization effect of minimizing the impact of voltage dips. The simulation results exhibit the proposed NFC performance through its robust control over the rotor side currents and bus voltage during both the voltage dip and normal operation.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 4575/74581
Uncontrolled Keywords: Voltage control, Voltage fluctuations, Rotors, Doubly fed induction generators Stators, Reactive power,Tuning
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. AHM Zahirul Alam
Date Deposited: 26 Sep 2019 09:38
Last Modified: 26 Sep 2019 09:39
URI: http://irep.iium.edu.my/id/eprint/74581

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