NEURAL NETWORK BASED LOAD FRQUENCY CONTROL FOR RESTRUCTURING POWER INDUSTRY

Authors

  • B Ogbonna Electrical/Electronics Engineering Department, Enugu State University Of Technology, Enugu, Nigeria.
  • SN Ndubisi Electrical/Electronics Engineering Department, Enugu State University Of Technology, Enugu, Nigeria.

DOI:

https://doi.org/10.4314/njt.311.104

Keywords:

load frequency control, power system controller, articial neural network, frequency response

Abstract

In this study, an artificial neural network (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neural network controller is presented. The comparison between a conventional Proportional  Integral (PI) controller and the proposed artificial neural networks controller is showed that the proposed controller can generate an improved dynamic response for a step load change. The same technique is then applied to control a system compose of two single units tied together though a power line. Electric load variations can happen independently in both units. Both neural controllers are trained with the back propagation-through-time algorithm. Use of a neural network to model the dynamic system is avoided by introducing the Jacobian matrices of the system in the back propagation chain used in controller training. For this application, MATLAB-Simulink software is used.

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Section

Research papers of General Interest

How to Cite

NEURAL NETWORK BASED LOAD FRQUENCY CONTROL FOR RESTRUCTURING POWER INDUSTRY. (2012). Nigerian Journal of Technology, 31(1), 40-47. https://doi.org/10.4314/njt.311.104