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.