홉필드 신경회로망의 전력경제급전에의 응용에 관한 연구

A Study on the Application of Hopfield Neural Network to Economic Load Dispatch

  • 엄일규 (부산대 대학원 전자공학과) ;
  • 김유신 (부산대 공대 전자공학과) ;
  • 박준호 (부산대 공대 전기공학과)
  • 발행 : 1992.01.01

초록

Hopfield neural network has been applied to the problem of economic load dispatch(ELD) of electric power. The optimum values of neuron potentials are represented in terms of large numbers. The differential synchronous transition mode is used in this simulation. Through case studies, we have shown the possibility of the application of neural network to ELD. In case of including the transmission losses, the proposed method has an advantage that the problem can be solved simply with one neural network, without calculating incremental fuel costs and incremental losses required by traditional method.

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