Title :
Performance of the DBF neural controller for transient stability enhancement of the power system
Author :
Cao, Wenming ; Cheng, Mingjun ; Hao Feng
Author_Institution :
Inst. of Intelligent Inf. Syst., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
To enhance the first swing stability a DBF neural network fastvalving controller is proposed. The solution approach is based on a recent fuzzy fastvalving control scheme. Disturbances in the PS are used for training the NN controller. The performance of the DBF neural controller is simulated in a single machine to an infinite bus power system.
Keywords :
fuzzy control; neurocontrollers; power system control; power system transient stability; valves; DBF neural controller; fuzzy fastvalving control scheme; infinite bus power system; power system transient stability enhancement; Control design; Control systems; Fuzzy control; Fuzzy logic; Linear systems; Neural networks; Power system faults; Power system simulation; Power system stability; Power system transients;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279273
