Load frequency control: a generalised neural network approach

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 development of a non-linear neural network controller using a generalised neural network. The drawbacks of existing neural networks have been overcome in the generalised neuron structure which has been developed to control the deviations in load frequency of a power system. (C) 1999 Elsevier Science Ltd. All rights reserved.