Articles | Zaria Journal of Electrical Engineering Technology

1

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

2

Research Article DOI: 10.67203/zjeet.2025.as9msjym

Development of Optimal Electricity Management Systems to Minimize Resources and Losses using Particle Swarm Optimization Techniques: A Case Study for UDUS

A. U,Lawan^*

Hybrid energy systems (HESs), have played an important role as clean and efficient source of electricity generation. HESs are often formulated as an optimization problem which is solved mostly using metaheuristics techniques. The conventional objective function is based on levelized cost of energy (LCOE), the lowest loss of power supply probability (LPSP), and the maximum renewable factor (REF) as...

Sep, 2025 pp. 1-12 52 views 26 downloads

3

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

4

Research Article DOI: 10.67203/zjeet.2025.ub9ybxq0

Development of Load Frequency Control of Two Area Interconnected Network Incorporated with Distributed Energy Sources

Adamu, Ahmed Kana^*, A. B. Kunya, A.S. Abubakar

The frequency of power systems is highly sensitive to load changes, and the increasing integration of distributed energy sources (DESs) further complicates frequency stabilization. To address these challenges, Load Frequency Control (LFC) is implemented to maintain frequency within acceptable limits. This work proposes a grasshopper optimization algorithm based on proportional integral derivative ...

Sep, 2025 pp. 30-38 36 views 15 downloads

5

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

6

Research Article DOI: 10.67203/zjeet.2023.hnn9liyz

APPLICATION OF WHALE OPTIMIZATION ALGORITHM (WOA) FOR DISTRIBUTION NETWORK RECONFIGURATION SCHEME FOR POWER QUALITY IMPROVEMENT

A Bukar^*, G. A. Olarinoye, Y. Jibril

Electrical power distribution networks (DN) are usually designed and operated in a radial configuration, but their topology, especially when highly loaded, is often meshed in order to improve system reliability and quality of the supply. This makes it feasible to alter the network topology after an outage to restore the service to affected areas. In addition, various power quality indicators can b...

Sep, 2023 pp. 41-52 26 views 11 downloads

7

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

8

Research Article DOI: 10.67203/zjeet.2023.y6fwe7za

Development of Improved Particle Swarm Optimization Algorithm Based on Success Rate for Optimal Placement of DG on Distribution Network

H. Yusuf^*, A.S. Abubakar, Y. Jibril, J. Abubakar

The increase in load demand of distribution networks, made the role of distribution systems (DSs) difficult for the power utilities. However, thoughtful planning for supplementary power reimbursement are necessary on DSs for power loss and voltage deviation minimization which is done by optimization techniques. An Improved Particle Swarm Optimization algorithm Based on Success Rate (IPSO-SR) was i...

Sep, 2023 pp. 53-61 24 views 11 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.2019.y6a2caqq

DIPOLAR MAGNETIC FLUX LEAKAGES FOR PIPELINE RECTANGULAR DEFECT CHARACTERIZATION: ANALYTIC APPROACH

L. U. Daura^*, A. Dan-Isa, S. A. Babale

Magnetic Flux Leakages (MFL) find its application in non-invasive of Non-Destructive Testing and Evaluation (NDT&E) to detect and characterizeddefect in pipelines made from ferromagnetic materials. Various improvementsof MFL models have been investigated for defect quantification but still couldnot achieve higher precision due to technical errors. We, therefore, proposemodels that minimize the err...

Sep, 2019 pp. 1-10 22 views 8 downloads