Focused Time Delay Neural Network For Tuning Automatic Voltage Regulator

Widi Aribowo

Abstract


This paper proposes a novel controller for automatic voltage regulator (AVR) system. The controller is used Focused Time Delay Neural Network (FTDNN). It does not require dynamic backpropagation to compute the network gradient. FTDNN AVR can train network faster than other dynamic networks. Simulation was performed to compare load angle (load angle) and Speed. The performance of the system with FTDNN-AVR has compared with a Conventional AVR (C-AVR) and RNN AVR. Simulations in Matlab/Simulink show the effectiveness of FTDNN-AVR design, and superior robust performance with different cases.


Keywords


SMIB; AVR; FTDNN; Automatic Voltage Regulator; Single Machine; Focused Time Delay Neural Network;

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References


Yavarian, K., Hashemi, F.,Mohammadian,A.. Design of Intelligent PID Controller for AVR System Using an Adaptive Neuro Fuzzy Inference System. International Journal of Electrical and Computer Engineering (IJECE), 4(5), pp 703-718, 2014.

Salim M. El Sharif Abdalla, Comparative Study Of Excitation System, AVR, And PSS Models For Synchronous Generator Under The Phase To Ground Fault. Master’s Thesis, , Near East University. 2015

Tang, B. Parameter tuning and experimental results of power system stabilizer. Master’s Thesis, Louisiana State University. 2011

Aribowo, W. An Adaptive Power System Stabilizer Based On Focused Time Delay Neural Network. Teknosains, 7(1), 2017, pp 67-73. http://dx.doi.org/10.22146/teknosains.35130

Mustafa M. Abed, A. El-Shafie, Siti Aminah Bt. Osman. Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network. Journal of Computer Science 6 (5), pp : 597-605, 2010

MATLAB 7.6.0 (R2008a) neural network Toolbox software

D. K. Sambariyaa, Rajendra Prasad. Routh Stability Array Method Based Reduced Model of Single Machine Infinite Bus with Power System Stabilizer. Proceedings of International Conference on Emerging Trends in Electrical, Communication and Information Technologies (ICECIT-2012), Andhrapradesh, India, pp 27-34, Desember 2012.

B. Zaker, G. B. Gharehpetian, N. Moaddabi. Parameter Identification of Heffron-Phillips Model Considering AVR Using On-Line Measurements Data. Proceedings of International Conference on Renewable Energies and Power Quality(ICREPQ’14),Cordoba,Spain,April 2014.

Kharrazi, A. Artificial Neural Network Based Power System Stabilizer on a Single Machine Infinite Bus System Modelled in Digsilent Powerfactory and Matlab. Electrical Engineering: An International Journal (EEIJ), 2, pp 1-11, 2015.

https://doi.org/10.5121/eeij.2015.2401




DOI: 10.24003/emitter.v7i1.315

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