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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JURNAL NASIONAL TEKNIK ELEKTRO
Joseph Cudjoe Attachie
University of Mines and Technology
Control & Systems Engineering Electrical & Electronics Engineering

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A GSM-Based Fault Detection on Overhead Distribution Lines Charles Ofori; Joseph Cudjoe Attachie; Felix Obeng-Adjapong
JURNAL NASIONAL TEKNIK ELEKTRO Vol 12, No 2: July 2023
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v12n2.986.2023

Abstract

Power distribution in Ghana is managed by the Electricity Company of Ghana (ECG) which is responsible for ensuring accessibility of electricity to consumers. One of the challenges that affect the effective operation of ECG is the slow response to faults on the overhead distribution lines. Fault detection on the distribution lines is a very tedious activity but a necessary procedure to ensure efficient power distribution to consumers. This paper seeks to design a system that can detect faults, the type of faults and their location before they cause any casualties to transformers and other power system equipment. This would replace the primitive method of patrolling and manual inspection of faults currently done by the Electricity Company of Ghana (ECG). This objective was achieved using a GSM-based system on an Arduino platform and ATmega 328P microcontroller to locate the occurrence of faults efficiently. Faults are introduced into the system by triggering the type of fault on the Arduino platform which opens the corresponding relay of the line fault. The opening of this relay sends a signal to the microcontroller and a corresponding LED which switches to display the type of fault. The microcontroller then communicates to the GSM module which displays the said fault and location on a display screen with the help of a virtual terminal. This system was tested under the various unsymmetrical faults to show the efficiency of the system using C++ programming. The simulation shows that the system offers a fast fault response time.
Dual random optimized pulse width modulation controller for three-phase voltage source inverter driven brushless DC motor Halidu Abdul Mumin; Solomon Nunoo; Joseph Cudjoe Attachie
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp966-980

Abstract

Brushless DC (BLDC) motors are widely employed in modern power electronic applications due to their high efficiency and dynamic performance. However, conventional pulse width modulation (PWM) techniques often generate concentrated harmonic components, leading to acoustic noise, torque ripple, and reduced inverter efficiency. This paper proposes an artificial neural network–assisted dual random pulse width modulation (ANN-DRPWM) strategy to enhance the output quality of a three-phase voltage source inverter driving a BLDC motor. In the proposed approach, supervised ANN training enables dual randomization of the carrier and modulation signals, effectively dispersing harmonic energy while maintaining improved DC-link voltage utilization. A passive LC filter is subsequently integrated to further suppress residual harmonics and ensure compliance with harmonic standards. The system is modeled and simulated in MATLAB/Simulink and evaluated against conventional sinusoidal PWM and flying capacitor multilevel inverter (FCMLI) techniques. Results demonstrate that the proposed ANN-DRPWM method achieves a post-filter total harmonic distortion (THD) of 2.17%, along with a 6-9% improvement in inverter efficiency and a noticeable reduction in torque ripple. Overall, the proposed strategy offers an efficient and intelligent modulation solution for high-performance BLDC motor drives, suitable for applications such as electric vehicles, renewable energy systems, and industrial drives.
Co-Authors Charles Ofori Felix Obeng-Adjapong Halidu Abdul Mumin Solomon Nunoo