A new robust adaptive fuzzy sliding mode power system stabilizer

This paper presents a novel power system stabilizer based on adaptive fuzzy sliding mode approach without reaching phase. We consider consequences of a major post disturbance on a power system for three different loading and operating conditions. Speed deviation and accelerating power are selected as controller inputs. A new sliding surface enabling for sliding to occur at any state initial conditions is used to develop a robust controller. Moreover, two adaptive fuzzy systems are used to approximate power system dynamics. Stability issue is addressed via Lyapunov synthesis. The robustness of the proposed method is verified on a single-machine infinite-bus and on a multi-machine power system stabilizer under different operating conditions. A comparative simulation study is presented to evaluate achieved performance enhancements showing better oscillations damping and faster transient dynamic behaviour over three considered controllers: a conventional, a dual-input and a classical sliding mode power system stabilizer.

► A single-machine infinite-bus and a multi-machine power system stabilizer. ► An adaptive fuzzy sliding mode approach without reaching phase. ► A new sliding surface enabling for sliding to occur at any state initial conditions. ► The robustness is verified by Lyapunov method. ► A comparative simulation study is presented.