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Application of Neural Networks to Automatic Load Frequency Control

  • Soumyadeep Nag
  • Namitha Philip
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8298)

Abstract

This paper is intended to present the benefits of the application of artificial neural network to automatic load frequency control. The power system model has been simulated and the conventional PI controller has been replaced by the artificial neural network controller wherein, we have trained the neural controller to behave as a PI controller. The strategy has been successfully tested for both a single area as well as multi area systems using MATLAB/SIMULINK. With the help of a neural controller we have been able to achieve a smaller transient dip as well as faster stabilization of frequency.

Keywords

Reactive Power Steep Descent Method Marquardt Algorithm Newton Algorithm Area System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Soumyadeep Nag
    • 1
  • Namitha Philip
    • 1
  1. 1.Dept. of Electrical and Electronics EngineeringSRM UniversityChennaiIndia

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