Adaptive rule-base fuzzy power system stabilizer for a multi-machine system

A new type of power system stabilizer based on fuzzy set theory is proposed to improve the dynamic performance of a multi-machine power system. To have good damping characteristics over a wide range of operating conditions, speed deviation and it is derivative of a machine are chosen as the input signals to the fuzzy stabilizer on that particular machine. The paper proposes Adaptation to Rule bases of the designed Fuzzy logic Power System Stabilizer (ARFPSS) to damp inter-area modes of oscillation. The proposed technique is derived as a direct fuzzy logic power system stabilizer. However, the integration steps are restricted to be in the linear area to avoid the problems that may result when the solution becomes saturated. The article shows that ARFPSS is more efficient than the Conventional Power System stabilizers (CPSS's) due to its ability to cope with oscillations at different operating points and different fault locations. A bench mark simulation problem of a 4-machine 2-area power system is exploited to demonstrate the performance of the proposed controller compared with standard techniques.