Congratulations Stephen Theophilus Aidoo

Stephen Theophilus Aidoo is a graduating MPhil student from the Electrical/Electronic Engineering Department at KNUST. His research interests are power-system protection, grid reliability in transmission networks and machine learning applications.

He developed an Improved Two-Terminal Impedance-Based Fault-Locating Algorithm for Transmission Networks using Random Forest Regression and Fast Fourier Transform Techniques for his MPhil work. His method advances two-ended impedance methods by tackling common error sources such as CT saturation and DC offset. Tested across diverse fault scenarios, the proposed approach delivered strong results for single-phase-to-ground faults.

Stephen’s work points to practical accuracy improvements that can shorten outage times and support future utility-grade validation and deployment.

All this was made possible by the unwavering support of KEEP, his supervisors Prof Emmanual A. Frimpong and Dr Emmanuel K. Anto.