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ISSN: 2375-3897

American Journal of Energy and Power Engineering

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High Reliability of Electrical Generation System to Enhance the Efficiency by Using the Algorithm of Feed Forward Neural Networks

American Journal of Energy and Power Engineering
Vol.4 , No. 6, Publication Date: Oct. 25, 2017, Page: 39-43

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Authors

[1]	Hassan Farhan Rashag, Electronics Technical Department, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Babylon City, Iraq.
[2]	Mohammed H. Ali, Electronics Technical Department, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Babylon City, Iraq.

Abstract

The electrical generation system is used to generate electrical power based on turbine and governor. however, the main problem of this classical electrical generation is that the distortion in the terminal voltage and frequency deviation in the load. To overcome this problem, new approach of Feed forward neural network FFNN is used to optimize the performance of system as results to enhance the efficiency of whole system. The simulation results showed that the system based on FFNN is high reliability and more effectiveness as compared with traditional system.

Keywords

Electrical Generation System, Efficiency, FFNN

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