ADAPTIVE NEURAL NETWORK FREQUENCY CONTROL FOR THERMOPOWER GENERATORS POWER SYSTEM

作者：Kuljaca Ognjen^*; Gadewadikar Jyotirmay; Selmic Rastko R

来源：International Journal of Robotics and Automation, 2011, 26(1): 86-92.

DOI：10.2316/Journal.206.2011.1.206-3399

• Power system
• frequency control
• neural network
• 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 network controller [Lewis, Jagannathan, & Yesildirect, Neural network control of robot manipulators and nonlinear systems, 1998] for an industrial 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.

• 出版日期2011