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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 3    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 3,March 2012
Neural adaptive control by state space system UPFC (SSNN) for compensation of active And reactive power
Full Text(PDF, )  PP.70-76  
Bouanane Abdelkrim, Chaker Abdelkader, Addadi Zoubida, Amara Mohamed
—UPFC system, adaptive control, neural networks, state space (SSNN
In our present paper, we present the effectiveness of the controller's electrical power flow Universal (unified power flow controller UPFC) with the choice of a control strategy. To evaluate the performance and robustness of the system, we proposed a hybrid control combining the concept of neural networks with conventional regulators vis-à-vis the changes in characteristics of the transmission line in order to improve the stability of the electrical power network
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