Title :
Multivariable self-tuning power system stabilizer simulation and implementation studies
Author :
Pahalawaththa, N.C. ; Hope, G.S. ; Malik, O.P.
Author_Institution :
Dept. of Electr. Eng., Calgary Univ., Alta., Canada
fDate :
6/1/1991 12:00:00 AM
Abstract :
A multi-input multi-output (MIMO) adaptive power system stabilizer which damps dynamic oscillations is presented. The single-input single-output (SISO) pole-shifting adaptive control algorithm is used as the basis. Its extension to the MIMO controller combines and coordinates the stabilizing contributions from both the excitation and governor systems. The advantage of the adaptive feature is that it can track the operating conditions and system structure changes. The proposed stabilizer can be used with hydro and turbogenerators. Computer simulation results show that the adaptive stabilizer improves the damping of power system oscillations
Keywords :
adaptive control; digital simulation; multivariable control systems; power system computer control; self-adjusting systems; adaptive power system stabilizer; damping; digital simulation; dynamic oscillations; excitation systems; governor systems; multi-input multi-output stabilizer; multivariable self-tuning stabilizer; pole-shifting adaptive control algorithm; Adaptive control; Adaptive systems; Control systems; MIMO; Power system control; Power system dynamics; Power system simulation; Power system stability; Power systems; Programmable control;
Journal_Title :
Energy Conversion, IEEE Transactions on