Robust Power System Stabilizers Design Using Reduced Order Models

Abstract

This paper provides the design of robust power system stabilizers using reduced order models whose state variables are torque angles and speeds. The methods are based on a modified optimal controller that place the system poles in an acceptable region in the complex plane for a given set of operating and system conditions. The output feedback gain matrix is obtained by using the strip eigenvalue assignment which it does not need the specification of weighting matrices. The effectiveness of the proposed controller is illustrated by a numeric example involving a three-machine nine-bus power system. The results show the robustness of the proposed controller and its ability to enhance system damping over several operating conditions.