Title :
Coordinative control of excitation, fast valving and resistant braking using artificial neural network
Author :
Yong, Min ; Lin-cheng, Xiu ; Li, Zhang ; Qi-rong, Jiang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
Quick-response excitation (QRE), dynamic resistance braking (DRB) and fast valving (FV) are all the important measures to improve the stability of power systems. All the time it is a difficult problem to coordinate the three kinds of nonlinear controllers. In this paper, a cooperative control of QRE, DRB and FV based on artificial neural networks (ANN) is proposed. Both the steady-state stability limits and the transient stability limits of the power system have been improved greatly
Keywords :
braking; control system synthesis; neural nets; power system control; power system stability; artificial neural networks; coordinated control; dynamic resistance braking control; fast valving control; power system stability; quick-response excitation control; steady-state stability limits; transient stability limits;
Conference_Titel :
Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
Conference_Location :
IET
Print_ISBN :
0-85296-569-9
