Articles

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69 articles
1
Research Article DOI: 10.67203/zjeet.2026.db4xw85g

Development of an Optimal On-Load Tap-Changing Scheme for a Transformer to Improve Power Quality

Ahmad Ibrahim*, Boyi Jimoh, Adamu S. Abubakar

Voltage instability remains a major operational challenge in large-scale transmission networks, particularly in developing power systems with increasing load demand. This paper proposes a coordinated on-load tap changer (OLTC) control strategy based on a Hybrid Particle Swarm Optimization–Grey Wolf Optimization (HPSOGWO) algorithm to enhance voltage stability and power quality. The proposed approa...

Sep, 2026 pp. 53-64 24 views 5 downloads
2
Research Article DOI: 10.67203/zjeet.2026.ikd6g1hm

Underground Fault Detection and Classification: An Explainable, SCADA-Ready Pipeline with Adaptive DWT and Compact CNN-Transformer

Kabiru Ibrahim Dahiru*, Ahmad Abubakar, Sulaiman Haruna Sulaiman, Yusuf Idris, Aliyu Lawan Musa, Ibrahim Mahdi

Underground faults are difficult to detect and classify reliably because transient signatures are short-lived, dispersive, and often masked by operating noise. Deployment in supervisory control and data acquisition (SCADA) environments demands deterministic, sub-millisecond latency and transparent decision logic. This research presents an explainable, SCADA-ready pipeline that couples adaptive dis...

Sep, 2026 pp. 35-52 38 views 15 downloads
3
Research Article DOI: 10.67203/zjeet.2026.vru9apwd

A Hybrid Artificial Intelligence Framework for OTDR-Based Anomaly Detection and Fault Classification in Optical Fibre Networks

Adams Muhammed*

Optical fibre networks constitute the backbone of modern communication infrastructures, making timely and accurate fault diagnosis essential for maintaining network reliability and service availability. Although Optical Time Domain Reflectometer (OTDR) measurements are widely employed for fibre fault localization, manual interpretation of OTDR traces is labor-intensive, time-consuming, and highly ...

Sep, 2026 pp. 14-34 32 views 17 downloads
4
Research Article DOI: 10.67203/zjeet.2026.ru0hxygb

Firefly Algorithm-Based Optimal Deployment of Unified Power Quality Conditioner for Loss Minimization and Voltage Stability Enhancement in Distribution Networks

Musa Mustapha*, Mustapha Kunduli, Babangida Modu, Modu Abbagana, Modu Ali Gana, Musa Baba Lawan

The increasing penetration of nonlinear loads and distributed generation (DG) in distribution networks poses significant challenges to voltage regulation and power loss minimization. Although Unified Power Quality Conditioner (UPQC), has proven effective in enhancing power quality and system stability, determining its optimal location and size remains a complex optimization problem. This study exa...

Sep, 2026 pp. 1-13 70 views 38 downloads
5
Research Article DOI: 10.67203/zjeet.2025.b6olr5jj

Integrated Economic and Emission Dispatch of Hybrid Thermal-Photovoltaic Generation

I. Abdullahi*, U. Musa, B. Musa, A. Aliyu, Abdullahi Bala Kunya, S.A. Alkali, S. Awaisu

Due to the increasing demand for qualitative electric energy at a competitive price and reduced environmental deterioration, electric power generation systems should be optimally dispatched. In this paper, the Integrated Economic and Emission Dispatch (IEED) of hybrid thermal-photovoltaic power plants using Bat (Chiroptera) Inspired Algorithm (BIA) is presented. The IEED technique entails determin...

Sep, 2025 pp. 80-91 19 views 8 downloads
6
Research Article DOI: 10.67203/zjeet.2025.80f2lqzh

Development of Deep Learning Model Based Resnet with SSD for Fault Detection in Distribution Network

A. Ango*, O. Ajayi, Z. Haruna, M. B. Mu’azu

This research proposes the development of deep learning model based residual network with single short multi box detector (resnet-SSD) for fault detection in distribution network. Power infrastructures are components used in the power system to generate, transmit or distribute power for the benefit of the consumers. These components include conductors, insulators, transformer, cross arm and many m...

Sep, 2025 pp. 71-79 13 views 4 downloads
7
Research Article DOI: 10.67203/zjeet.2025.oujsl7gb

Derived Specific Rain Attenuation at Stand-Alone Milimeter Wave Bands for Samaru Zaria, Nigeria

I. Abdullahi*, A. Abdulkarim, U. Musa, I. A. Shehu, A. Aliyu

This work studies rain–induced effect on some envisaged 5G links located at Samaru Zaria, Kaduna State, Nigeria, operating at 26 GHz, 38 GHz and 42 GHz in a MATLAB environment; using 3–year rain data obtained from Em60G™ datalogger–powered metrological setup of the Nigerian Metrological Agency (NiMet) located at Ahmadu Bello University, Zaria. Lavergnat and Gole (LG) model was used to derive the 1...

Sep, 2025 pp. 65-70 18 views 8 downloads
8
Research Article DOI: 10.67203/zjeet.2025.n5uegmzb

Optimized PID Based Load Frequency Control of a Hybrid Microgrid

S. M. Aminu*, Y. Jibril, A. Abdulkarim, A.S. Abubakar

This research presents the development of an optimized PID based load frequency control of a hybrid microgrid. The micro-grid (MG) concept allows the renewable energy sources to operate in both synchronized grid and islanded/stand-alone mode. These modes of operations of the MG have made it smart, hence require intelligent coordinated control strategies. The existing control strategies of the MG s...

Sep, 2025 pp. 57-64 21 views 15 downloads
9
Research Article DOI: 10.67203/zjeet.2025.r2umjgdz

A Study on State Estimation of Synchronous Generator using an Improved Unscented Kalman Filter Algorithm

Yahaya Ismail*, B. Jimoh, Adamu Abubakar Sa’idu

An enhanced Unscented Kalman Filter (UKF) technique for synchronous generator state estimation is presented in this study. The suggested approach overcomes the drawbacks of conventional UKF in managing noise and nonlinearities in power systems. Comparative analysis and validation are made on the tracking performance of Normal Ukf and Improved Ukf (SR-Ukf) algorithms and the simulation results show...

Sep, 2025 pp. 49-56 23 views 8 downloads
10
Research Article DOI: 10.67203/zjeet.2025.pghis03r

Development of an Optimal Energy Management System for Grid-Connected Micro Grid

Zubair Dada*, Patrick U. Okorie, Abdullahi Bala Kunya

This paper developed an optimal energy management system (EMS) for a grid-connected microgrid (MG) integrating distributed generation (DG) to minimize operational costs of the MG, which consisted solar PV, micro turbine, wind turbine, combined heat and power, electricity energy storage, and fuel cells. The parameters were optimized using particle swarm optimization (PSO) algorithms and implemented...

Sep, 2025 pp. 39-48 21 views 12 downloads