Published Paper Details:

This project presents a fault detection methodology for the IEEE 9-bus system using MATLAB and Simulink. The IEEE 9-bus system is a well-established testbed for studying power system stability and fault analysis due to its complexity and interconnectivity. In this study, various types of faults, including single-line-to-ground (SLG), line-to-line (LL), double-line-to-ground (DLG), and three-phase faults, are simulated and analyzed. The primary objective is to develop a fault detection mechanism that accurately identifies and classifies fault types, location, and severity within the network. The system dynamics are modeled using MATLAB's Simulink environment, leveraging the capabilities of the Sim Power Systems toolbox for power systems simulation. The proposed fault detection algorithm employs wavelet transforms and signal processing techniques to analyze the transient response during fault conditions. By examining voltage and current waveforms at critical nodes, the algorithm pinpoint's fault locations and classify fault types based on characteristic transient features. The findings of this research are essential for advancing the reliability of protection systems, as the early detection of faults minimizes system downtime and ensures stable power delivery. The project concludes with a performance analysis of the fault detection approach, illustrating its effectiveness and accuracy across different fault scenarios in the IEEE 9-bus model.