Title :
Supervisory level neural network identifier for a small power system with a STATCOM and a generator
Author :
Mohagheghi, Salman ; Harley, Ronald G. ; Venayagamoorthy, Ganesh K.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A neural network based identifier is designed for effective control of a small power system. The power network in this work is considered from an external point of view, i.e., from a. supervisory level. Such a neuroidentifier can serve as a general model of such a plant, and then used for different neural network based control schemes.
Keywords :
electric generators; neurocontrollers; power system control; static VAr compensators; STATCOM; generator; neural network based identification; neurocontrol; small power system control; supervisory level; Automatic generation control; Automatic voltage control; Neural networks; PSCAD; Power generation; Power system control; Power system modeling; Power systems; Regulators; Voltage control;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381122
