Controller Tuning for the Improvement of Dynamic Security in Power Systems

We consider the improvement of dynamic security in power systems by tuning of the power plant controllers. The parameters of existing controllers are tuned like power system stabilizers in order to increase the stability reserve and oscillation damping after a dropout of power plants and power lines. The tuning is done in two steps: in the first step, the power system is stabilized after the dropout of a power plant or power line. Then, oscillation damping is increased after the dropout by an H-infinity optimization approach. Both steps use linear matrix inequality optimization methods. To perform the tuning, we introduce a modeling method for the dropout of power plants and power lines, such that the dropout of components can be considered directly as a disturbance input for the H-infinity optimization. Finally, we evaluate the approach on the IEEE 39 bus model. We show that the presented methods successfully stabilize the system and improve power oscillation damping after the dropout of different power plants and power lines.