Protection Scheme based on Fault Detection and Fault Classification using Fuzzy inference system in IEEE-9 Bus System

Abstract

In any electrical power network the continuity of power flow with high level of reliability is necessary. It is necessary to detect and classify the fault in any power system network . This paper Proposed the Protection Scheme in IEEE-9 bus system based on Fault Detection and Classification using Fuzzy Inference System. In this Scheme the Magnitude of Positive Sequence Voltage ,Positive Sequence Current ,Zero Sequence Voltage and Zero Sequence Current signals are used. This feature of IEEE-9 bus system is obtained using Discrete Fourier Transform. The 3-Phase Positive Sequence Voltage , Positive Sequence Current ,Zero Sequence Voltage and Zero Sequence Current signals are collected at one end of a transmission line in a bus thus the communication link which is used to collect remote end data dependability is removed. In this scheme four fuzzy FIS modules are developed to detect the presence of fault in any of the 3-Phase and to identify the presence of Ground. Fault Simulation is done in MATLAB/Simulink for all possible Symmetrical and Unsymmetrical fault combinations by varying Fault Location , Fault Resistance, Fault Inception Angle, Load Angle ,Load Magnitude, Generator Supply and Generator Supply Frequency. The Results shows that proposed scheme is able to perform the Tripping action and Classify the Fault therefore the scheme can be employed in practical application.