Volume 14, Issue 1 (September)

Articles in this Issue

9 articles
1
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 14 views 8 downloads
2
Research Article DOI: 10.67203/zjeet.2025.svb9bo1k

Electric Load Forecasting using Machine Learning and Traditional Models: A Review

A. U,Lawan*

Electric load forecasting (ELF) is an essential procedure in the electricity industry's planning, with a significant impact on electric capacity scheduling and power systems management. As a result, it has garnered growing attention from the academic community. Load forecasting has become an essential component of electricity utility firms. In order to ensure uninterrupted and reliable power suppl...

Sep, 2025 pp. 13-29 6 views
3
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 14 views 1 downloads
4
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 6 views 1 downloads
5
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 6 views
6
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 5 views 1 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 8 views 1 downloads
8
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 6 views
9
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 6 views
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