Title :
Neural network frequency control for thermal power systems
Author :
Kuljaca, Ognjen ; Lewis, Frank L. ; Tesnjak, Sejid
Author_Institution :
Dept. of Adv. Technol., Alcom State Univ., Alcorn State, MS, USA
Abstract :
A 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 is provided. The stability of the controller is proven. The performance of the controller is illustrated via simulation.
Keywords :
Lyapunov methods; frequency control; multilayer perceptrons; neurocontrollers; power system control; neural network frequency control; online tuning algorithm; stability; thermal power systems; Control systems; Frequency control; Neural networks; Power system control; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power systems; Stability analysis;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1429256
