Effect of different membership functions on fuzzy power system stabilizer for synchronous machine connected to infinite bus

Abstract

The effectiveness of power system stabilizer (PSS) in providing damping and improving the dynamic response is well established. In this paper focuses, the performance of single machine infinite bus is studied with fuzzy power system stabilizer (FPSS). The generator is represented by the standard K-coefficients as second order system. The mechanism to discuss the rules is described and the performance is investigated for trapezoidal, triangular and Gaussian membership functions of input and output variables. For FPSS, speed deviation and acceleration deviation are taken as input. The system is simulated in SIMULINK environment and performance is investigated for transients due to change in input of varying magnitude.

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

“…However, the design does not include the superiority of a particular membership function in the field of SMIB power system and its extension to a Multi-machine power system [18,19]. The main aspect to be incorporated into the design and evaluation of FPSS are as following.…”

“…The defuzzification method is considered as centroid type as proven to be effective in [16]. In [18,19], the FPSS is designed for SMIB power system and found that the triangular-type membership function is more effective as compared to gaussian, trapezoidal with 49 rule base [20,21]. Still the problem of selecting appropriate membership based on number of rules in rule base is not available in literature.…”