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2013 (Vol. 6, Issue: 04)
Article Information:

Adaptive Control with SSNN of UPFC System for the Compensation of Active and Reactive Power

A. Bouanane, A. Chaker and M. Amara
Corresponding Author:  A. Bouanane 

Key words:  Adaptive control, ELMAN network, identification, robustness, stability, State Space Neural Network (SSNN), UPFC system
Vol. 6 , (04): 739-747
Submitted Accepted Published
October 30, 2012 January 03, 2013 June 20, 2013

The focus of this study is the effectiveness of the controllerís Unified Power Flow Controller UPFC with the choice of a control strategy. This Unified Power Flow Controller (UPFC) is used to control the power flow in the transmission systems by controlling the impedance, voltage magnitude and phase angle. This controller offers advantages in terms of static and dynamic operation of the power system. It also brings in new challenges in power electronics and power system design. To evaluate the performance and robustness of the system, we proposed a hybrid control combining the concept of identification neural networks with conventional regulators and with the changes in characteristics of the transmission line in order to improve the stability of the electrical power network. With its unique capability to control simultaneously real and reactive power flows on a transmission line as well as to regulate voltage at the bus where it is connected, this device creates a tremendous quality impact on power system stability. The result which has been obtained from using MATLAB and SIMULINK software showed a good agreement with the simulation result.
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  Cite this Reference:
A. Bouanane, A. Chaker and M. Amara, 2013. Adaptive Control with SSNN of UPFC System for the Compensation of Active and Reactive Power.  Research Journal of Applied Sciences, Engineering and Technology, 6(04): 739-747.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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