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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

In this paper, a hybrid of Neural Network (NN) and Fast Traversal Filter (FTF) based controller is used to determine the optimal parameters of Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) system of single area power system. Input to the controller i.e. the error signal is divided into two parts- linear and non- linear. The linear part of the error signal is minimized by the FTF algorithm, whereas the nonlinear part is minimized by the NN algorithm. The output of the controller is the sum of the outputs of NN and FTF networks. The proposed hybrid controller requires less number of samples for training of weights, thus making the system fast. This is highly desirable in power quality problems. The simulations demonstrate the effective and smooth performance of the power system. The results of the proposed hybrid controller are compared with that of Proportional and Integral (PI), neural and Particle Swarm Optimization (PSO) based controllers. Simulated results evince the superiority of the proposed hybrid controller.!

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