Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage

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Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage

This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) to enhance the transient stability of a grid-connected wind generator system. The control strategy of the SMES unit is developed based on cascaded control scheme of a voltag...

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Bibliographic Details
Main Authors:	Hasanien, H., Ali, S., Muyeen, S.M.
Format:	Conference Paper
Published:	2012
Online Access:	http://hdl.handle.net/20.500.11937/7614

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