The basic aim of the power system stabilizer is to damp the fluctuations that occur
on the rotating axis of the synchronous generator that result from noise or
disturbance on the power system. This is achieved by producing an appropriate
damping torque for these fluctuations across the excitation circuit of the generator
and for a wide range of operation conditions. The study describes the types of
power system stabilizers and giving an mathematical model of the power system
that consists of a synchronous machine connected to the infinite bus though
transmission lines. This has been achieved by simulating the electric and
mechanical equations of power systems and proposing a methodological approach
to design a Fuzzy Logic Power System Stabilize (FPSS) relaying in the design on
the (Matlab/Fuzzy logic toolbox).Speed deviation (Δω) and acceleration (∆ώ) of
the synchronous machine are chosen as the input signals to the fuzzy controller in
order to achieve a good dynamic performance .The complete range for the
variation of each of the two controller inputs is represented by a 7×7 decision table,
i.e. 49 rules using proportional derivative like fuzzy logic. The power system
(SMIB) was tested with the presence and absence of the excitation system, then
(CPSS) was added, and then (FPSS).The simulation results of the proposed fuzzy
logic on )SMIB( gave a better dynamic response, decreased the settling time and
good performance of the stabilizer in damping the fluctuations that arise in the
speed of rotation of the generator and its active power in various operating
conditions when proposed (FPSS) is compared with conventional PSS. The
simulation results proved the superior performance of the proposed (FPSS).
Dynamic Stability and Analysis of SMIB system with FLC Based PSS including Load Damping Parameter Sensitivity