Frequency Estimation of Power System Using CMAC Artificial Neural Network

Publication Type:

Conference Paper

Authors:

K. Deepak Kartik; Prabhu E.; S. Nithin

Source:

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (2016)

Keywords:

ANN, Artificial Neural Network (ANN), Artificial neural networks, Cerebellar Model Articulation Controller (CMAC), CMAC artificial neural network, distorted sinusoid wave, Estimation, Frequency estimation, Genetic algorithms, neural nets, power engineering computing, power system frequency, Power systems, Training

Abstract:

The power system frequency plays more important role in power system and the paper intends a different technique to estimate exact power system frequency of a distorted sinusoid wave. The estimation of frequency is articulated as optimization problem, and it aims to reduce the estimation error. And the problem statement is executed in soft computing technique CMAC Artificial Neural Network (ANN). The algorithm is implemented and performance is simulated.

Notes:

cited By 0; Conference of 2016 IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016 ; Conference Date: 18 March 2016 Through 19 March 2016; Conference Code:123144

Cite this Research Publication

D. K. Kartik, Prabhu E., and Nithin, S., “Frequency Estimation of Power System Using CMAC Artificial Neural Network”, in 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016.

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