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Load Frequency Control: A generalized Neural Network Approach
Int. J. on Electric Power and Energy Systems (1999)
  • D. K. Chaturvedi, Dayalbagh Educational Institute
  • P. S. Satsangi, Dayalbagh Educational Institute
  • P. K. Kalra
Variation in load frequency is an index for normal operation of power systems. When load perturbation takes place anywhere in any area of the system, it will affect the frequency at other areas also. To control load frequency of power systems various controllers are used in different areas. but due to non-linearities in the system components and alternators, these controllers cannot control the frequency quickly and efficiently. Simple neural networks which are in common use at present have various drawbacks like large training time, requirement of large number of neurons, etc. The present work deals with the developmetn of a non-linear neural network controller using a generalized neural network. The drawbacks of exisitng neural networks which have been overcome in the generalized neuron structure which have been developed to control the deviations in load frequency of power systems.
  • Load Frequency Control,
  • Generalized Neuron,
  • ANN
Publication Date
September, 1999
Citation Information
D. K. Chaturvedi, P. S. Satsangi and P. K. Kalra. "Load Frequency Control: A generalized Neural Network Approach" Int. J. on Electric Power and Energy Systems Vol. 6 Iss. 1 (1999)
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