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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338Primary Frequency Control Strategy of DFIG Based...

Primary Frequency Control Strategy of DFIG Based on Hopfield Neural Network

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Abstract:

This paper presents a new method to enhance the participation of doubly fed induction generators (DFIG) effectively in system frequency regulation. A new associated control based on Hopfield neural network (HNN) is proposed to control the rotor kinetic energy and the primary reserve power of DFIG simultaneously. The proposed approach takes advantage of the learning ability of neural network to form an adaptable Hopfield neural network controller (HNNC). And the feasibility of all those control strategies is analyzed in a Two-area four-generator system based on PSCAD/EMTDC. Simulation results indicate that the proposed strategy can greatly improve system frequency stability compared with classical strategies.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

738-749

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.738

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Online since:

July 2013

Authors:

Chang Ming Xiang, Tian Wei Gu, Li Xin Fan, Yi Quan Jiang

Keywords:

Double Fed Induction Generation (DFIG), Hopfield Neural Network Associated Control, Kinetic Energy of Rotor, Power Reserve, Primary Frequency Control

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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