Title :
An adaptive deadbeat stabilizer for power system dynamic stability
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India
Abstract :
An adaptive deadbeat stabilizer developed to improve power system damping is discussed. The method involves normalized recursive least-squares estimation to yield a reduced-order state-space model of the power system. This reduced-order model is used to design the required deadbeat stabilizer recursively, along with an adaptive observer to estimate the unknown states
Keywords :
adaptive control; least squares approximations; power system control; stability; state estimation; adaptive control; adaptive deadbeat stabilizer; adaptive observer; damping; normalized recursive least-squares estimation; power system control; power system dynamic stability; reduced-order state-space model; state estimation; Adaptive control; Damping; Eigenvalues and eigenfunctions; Least squares approximation; Observers; Power system dynamics; Power system modeling; Power system stability; Power system transients; State-space methods;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70555
