Ognjen Kuljaca, Jyotirmay Gadewadikar, and Rastko R. Selmic
Power system, frequency control, neural network, and adaptive control
This paper presents an application of a neural network control scheme in a thermopower generator control problem. Presented adaptive neural network control scheme for power systems frequency control does not require offline training. We apply Lewis’ neural net- work controller [Lewis, Jagannathan, & Yesildirect, Neural network control of robot manipulators and nonlinear systems, 1998] for an in- dustrial type system that occurs in power system industry. Stability proof for described control scheme is given in this paper. The online tuning algorithm and neural network architecture are described in detail. The performance of the controller is illustrated via simulation and analysed with respect to changes in process parameters and for different disturbances. Performance of neural network controller is compared with conventional proportional-integral control scheme for frequency control in power systems.
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