engleski

Excitation control of a synchronous generator using neural networks

Usage of neural networks' based excitation control on single machine infinite bus, its implementation and experimental studies have been reported in this paper. The proposed feed forward neural network integrates a voltage regulator and a power system stabilizer. It is trained online from input and output signals of a synchronous generator. A modified error function used for training the neural network by the back propagation algorithm uses the the voltage reference and terminal voltage to provide voltage control and the active power deviation to provide stabilization. The complete control algorithm is implemented into a fixed point DSP and tested in laboratory environment on an 83 kVA, 50 Hz synchronous generator connected over transmission line to the power system. The experimental results show advantages of this method over conventional control method (an excitation current loop with P controller and a terminal voltage loop with PI controller).

Generator excitation systems; neural networks

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