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Article Information:
LS-SVM Based AGC of an Asynchronous Power System with Dynamic Participation from DFIG Based Wind Turbines
Gulshan Sharma, K.R. Niazi and Ibraheem
Corresponding Author: Gulshan Sharma
Submitted: May 09, 2014
Accepted: June 16, 2014
Published: August 25, 2014 |
Abstract:
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Modern power systems are large and interconnected with growing trends to integrate wind energy to the power system and meet the ever rising energy demand in an economical manner. The penetration of wind energy has motivated power engineers and researchers to investigate the dynamic participation of Doubly Fed Induction Generators (DFIG) based wind turbines in Automatic Generation Control (AGC) services. However, with dynamic participation of DFIG, the AGC problem becomes more complex and under these conditions classical AGC are not suitable. Therefore, a new non-linear Least Squares Support Vector Machines (LS-SVM) based regulator for solution of AGC problem is proposed in this study. The proposed AGC regulator is trained for a wide range of operating conditions and load changes using an off-line data set generated from the robust control technique. A two-area power system connected via parallel AC/DC tie-lines with DFIG based wind turbines in each area is considered to demonstrate the effectiveness of the proposed AGC regulator and compared with results obtained using Multi-Layer Perceptron (MLP) neural networks and conventional PI regulators under various operating conditions and load changes.
Key words: Automatic generation control, doubly fed induction generator, RBF kernel, support vector machines, , ,
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Cite this Reference:
Gulshan Sharma, K.R. Niazi and Ibraheem, . LS-SVM Based AGC of an Asynchronous Power System with Dynamic Participation from DFIG Based Wind Turbines. Research Journal of Applied Sciences, Engineering and Technology, (8): 1022-1028.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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