This paper presents an advanced methodology for load flow analysis and the fault detection in the IEEE 9-bus power system using MATLAB-Simulink and the wavelet transform. By combining load flow analysis accuracy with the fault detection capabilities of the wavelet transform, efficient fault identification and rapid system restoration are achieved. The proposed approach is simulated through simulations of the IEEE 9-bus system using MATLAB- Simulink, highlighting its effectiveness and robustness. Uninterrupted power supply is crucial for power systems, and prompt fault detection is essential to prevent damage and blackouts. This research focuses on utilizing the wavelet transform for fault detection, employing time-frequency resolution to identify and locate load faults. The method suggests conducting tests on the IEEE 9-bus system, where faults are identified if the computed energy surpasses the threshold. The study validates the proposed approach’s effectiveness in load flow analysis and fault detection, contributing to the stability and reliability of power systems.

Keywords : Load Flow Analysis, Unsymmetrical fault detection, IEEE 9 Bus System, Discrete Wavelet Transform, and Transmission lines.