Abstract:
A new type of Power System Stabilizer based on fuzzy set theory is proposed to improve the dynamic performance of a single machine power system. To have good damping characteristic over a wide range of operating conditions, speed deviation. (0 co) and acceleration (Acv) of a machine are chosen as the input signals to the fuzzy stabilizer on the particular machine. These input signals are first characterized by a set of linguistic variables using fuzzy set notations. The fuzzy relation matrix, which gives the relationship between stabilizer inputs and stabilizer output, allows a set of fuzzy logic operations that are performed on stabilizer inputs to obtain the desired stabilizer output. The effect of variation of coordinates of triangular membership function and scaling factors on performance of FLPSS has been investigated.
The work also includes the dynamic stability of a machine connected to an infinite bus through a transmission line. K1-K6 model, as suggested by Heffron and Phillips, has been 'used to analyze the system dynamic stability. The effect of variation of loading conditions on K1-K6 parameters, effect of AVR gain on system stability has been studied. A systematic approach is introduced to tune the parameters of Delta-Omega PSS for single machine infinite bus system.
Work has also been carried out for a multimachine system. Identification of optimum locations for Power System Stabilizer using Participation factor and Sensitivity methods. Than the multimachine system is simulated with Conventional Power System Stabilizer. All these work has been done using MATLAB 6.5 Simulink Tools.
