Power system stabilizer design using adaptive backstepping controller

This paper proposes a new approach for combining adaptive backstepping control and optimal reduced order models to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem. However, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of control system. These reasons, therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator. We use the adaptive backstepping control and optimal reduced order models to design the power system stabilizers. The advantages of the proposed method are illustrated by numerical simulation of the one-machine infinite-bus power system.