Fault Detection and Classification on Transmission Lines during Asymmetrical Faults using Wavelet Transformation and Decision Tree Algorithm

In current years, the magnification of electricity utilization for industrial applications as well as residential applications has increased. So, the power system must ensure the quality and credibility of the electric power supply. Inorder to ensure the credibility of the system, the power protection circuit system should operate quickly and accurately. Hence, protection devices need fast data acquisition systems. Initially, fault detection in a power system with a perfect time sequence is very important. In this work,Wavelet Transformation Technique(WTT) along with Decision Tree Algorithm (DTA) based fault detection and classification algorithm were proposed. Here, falut detection can be performed by the WTT algorithm and fault classification can be performed by the DTA algorithm. Both algorithms were working together to ensure fast identification and classification. The test system is examine with regular and fault conditions (Asymmetrical) and the The procedure suggested above is used to identify the system's faulty portion. The chosen power system that has issues is represented in the MATLAB Simulink environment, and the outcomes of simulations for different kinds of issues are examined.