Performance Analysis of Adaptive Neural Network Frequency Controller for Thermal Power Systems

نویسندگان

  • OGNJEN KULJACA
  • SEJID TESNJAK
  • VLADIMIR KOROMAN
چکیده

An adaptive neural network control scheme for thermal power system is described. No off-line training is required for the proposed neural network controller. The online tuning algorithm and neural network architecture are described. The performance of the controller is illustrated via simulation for different changes in process parameters. Performance of neural network controller is compared with conventional proportional-integral control scheme for frequency control in thermal power systems. Key-Words: -power system, neural network, adaptive control, frequency control

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تاریخ انتشار 2007