Implementation and laboratory test results for an adaptive power system stabilizer based on linear optimal control

Implementation of an adaptive power system stabilizer (PSS) based on linear optimal control is described. The generator is identified in real time, and a special third-order discrete Riccati equation is solved in each sample interval. Because the output of the generator is fed back directly, the controller can track the system very fast. Experimental studies on a physical model of a micromachine alternator connected to a constant voltage bus through a transmission line are reported. The PSS was implemented using a multiprocessor architecture employing separate processors for identification, control, and man-machine interface. The various parameters are tuned to obtain the best performance under various disturbances. Test results show that the proposed PSS is very effective in damping out the system oscillation