Department of Electrical / Electronics Engineering
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Item Data-Driven Condition Assessment and Remaining Life Prediction of Low-Voltage Distribution Transformers Using Insulation Resistance Measurements: A Case Study of Ajayi Crowther University Distribution Network(IRE JOURNALS, 2026-06-01) Adenle, Johnson Gbadebo; Opakunle James Akinpelu; Obanisola Oluwole OlawaleThis paper presents a comprehensive insulation resistance (IR) assessment of low voltage distribution transformers at Ajayi Crowther University (ACU), Oyo, Nigeria. The study evaluates the safety, reliability, and operational efficiency of four distribution transformers (three 500 kVA units and one 750 kVA unit) through systematic IR testing using a Megger MIT1025 insulation tester. Testing was conducted in three configurations: Line-to-Earth (L-E), Neutral-to-Earth (N-E), and Line- to-Neutral (L-N), with results corrected to a standard temperature of 20°C and benchmarked against IEEE standards. Statistical analysis revealed an overall mean corrected IR of 137.5 MΩ with a standard deviation of 21.46 MΩ. Three transformers (T1, T3, and T4) demonstrated healthy insulation with corrected IR values ranging from 100 to 160 MΩ. However, transformer T2 exhibited localized insulation degradation, failing the L-N test with a corrected IR of 90 MΩ, below the IEEE minimum threshold of 100 MΩ. The findings indicate that while the university's electrical distribution system is largely in satisfactory condition, immediate corrective maintenance is required for T2.Item Development of Smart Energy Management Socket Using Real-Time Metering and Demand Response Control(IRE JOURNALS, 2026-06-06) Adenle, Johnson GbadeboThe need for energy conservation, management, control, and overload protection for optimal energy deployment and consumption in domestic, commercial, and industrial applications has necessitated the design of an energy supply system that can be controlled and monitored in real time from any location worldwide. The proposed system leverages an ESP32 Wi-Fi-enabled micro-controller integrated with the PZEM-004T sensor module to measure current, voltage, energy, power, frequency, and power factor. Each outlet is switched via a 2N2222A bipolar junction transistor driving individual relay channels that control AC supply to the connected loads. Parameters are monitored, controlled, and driven online through a Firebase Real-time Database web interface. Functional testing showed an average voltage measurement error of 0.14% over a 227 V-230 V range, an average current error of 1.18%, and a power measurement error of 2.11%. These negligible deviations confirm the accuracy, reliability, and suitability of the system for smart-home and industrial energy management applications.Item Techno-Economic Design and Simulation of a Hybrid Renewable Energy Micro-grid for Reliable Campus Electrification in Sub-Saharan Africa: A Case Study of Ajayi Crowther University, Nigeria(IJCER Journal, 2026-06-05) Adenle, Johnson Gbadebo; Opakunle James AkinpeluThis paper presents the design, simulation, and performance evaluation of a grid-connected hybrid renewable energy microgrid system for Ajayi Crowther University in Oyo, Nigeria. The system integrates wind turbines, solar photovoltaic panels, battery energy storage, and grid connection to address persistent challenges of unreliable national grid supply, high diesel generator costs, and environmental pollution. Using MATLAB/Simulink, HOMER Pro, and PSCAD simulation platforms, a comprehensive techno-economic analysis was conducted based on one year of meteorological data (April 2024 - April 2025) and detailed load profiling of the Engineering Faculty and Diocese of Lagos West (DLW) Female Hostel. The optimised system comprises 300 kW wind capacity (three 100 kW turbines), 250 kW solar PV, 600 kWh battery storage, and 700 kW inverter capacity. Simulation results demonstrate that the hybrid system achieves a 74.3% renewable energy fraction, generating 817,820 kWh annually from renewable sources while reducing grid dependency to 25.7%. The system delivers annual CO emission reductions of 436.7 tonnes and demonstrates economic viability with a levelised cost of energy of $0.198/kWh and a payback period of 12.3 years. This study contributes to the growing body of knowledge on hybrid microgrid applications in Sub-Saharan African university campuses and provides a replicable framework for similar institutional electrification projects in developing regionsItem Hybridization of zero forcing-minimum mean square error equalizer in multiple-input multiple-output system(Indonesian Journal of Electrical Engineering and Computer Science, 2022-05-01) Damilare, Akande; Adeyemo, Zachaeus; Arowolo, Olakunle; Oseni, OlasunkanmiTransmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to inter-symbol interference (ISI) distortion and causes high error. The existing linear equalizer (LE) in multiple-input multiple-output (MIMO) systems such as zero forcing (ZF) equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, minimum mean square error (MMSE) equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for wireless fidelity (Wi-Fi) over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using maximal-ratio combining (MRC). The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using bit error rate (BER) and pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.Item Airborne System for Pipeline Surveillance Using an Unmanned Aerial Vehicle(European Journal of Engineering Research and Science, 2020-02-01) Olatunbosun, Adeboye; Benyeogor, Mbadiwe; Kumar, SushantOur work involves the development of a quadcopter Unmanned Aerial Vehicle (UAV) system with remote sensors onboard for monitoring oil and gas pipelines. Two Liquefied Petroleum Gas (LPG) sensors were used for LPG gas leakage detection. The Multiwii software is used to control, track and simulate the 3D motion of the UAV in flight. Using this device, experimental data from field tests were analyzed with MATLAB. Results reveal that the developed system has performed as expected. Thus, our device can be used to enhance asset monitoring and operational safety in the oil industry.Item Automatic Controller for Teleoperated Switching between Multiple Energy Sources in a Residential Building Nanogrid(www.iiste.org, 2020-09-30) Olatunbosun, Adeboye; Olufajo, Oludolapo O.Erratic power supply from the utility grid has grave effect of the development of several countries. In a bid to overcome this challenge, many residential buildings have become electrically self-sustaining by the integration of various backup power supply source. Yet the act of transition from one source to another has remained a manual task that tends to discourage users from going through the rigour. Internal combustion engine AC generators and batteries have been found to be the most common backup options. An automatic transition system that gives user the flexibility of monitoring and controlling resources remotely from a mobile phone application is thus presented in this paper. The microcontroller-based system monitors the status of the energy resources and protects the building against undervoltage or overvoltage conditions. Based on the state of charge of the battery and the fuel level in the generator, the system activates the appropriate alternative backup source in the event of an outage form the grid supply. This system affords users a new level of comfort and reliability of power supply, as in the automatic mode, the users are guaranteed power supply with minimal downtime, except when all resources are unavailable.Item Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review(International Journal Energy Res. 2020, 2019-08-12) Ajeigbe, Olusayo A.; Munda, Josiah L.; Hamam, YskandarIntegrating renewable energy hybrid distributed generation (REHDG) into distribution network systems (DNSs) has become increasingly important because of various technical, economic, and environmental advantages accruing from it. However, the output power of REHDGs from photovoltaic (PV) and wind is highly variable because of its dependency on intermittent parameters such as solar irradiance, temperature, and wind speed. Such variability of generated power from large-scale REHDGs or load introduces small signal instabilities (oscillations). Meanwhile, different locations of integration and sizes of REHDGs in the DNS affect the system oscillation modes by either improving or depriving the small-signal stability (SSS) of the network. Consequently, a significant number of research has been conducted on the planning of optimal allocation of REHDGs in DNS. In this regard, this paper reviews the existing planning models, optimisation techniques, and resources' uncertainty modelling employed in REHDGs allocations in terms of their capability in obtaining optimal solutions and enhancing SSS of the system. Planning models with optimisation algorithms are evaluated for modelling renewable resource uncertainties and curtailing SSS variables. Researchworks on planning of optimal allocation of these generations attain minimum cost, but were unable to satisfy the SSS requirements of the system. The existing models for the planning and design of optimal timing, sizing, and placement of REHDGs will need to be improved to optimally allocate REHDGs and satisfy the SSS of the DNS after the integration.Item Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement(2019-11-14) Ajeigbe, Olusayo A.; Munda, Josiah L.; Hamam, Yskandarwind, and biomass takes into consideration the impact assessment of variable generations from PV and wind on the distribution networks’ long term dynamic voltage and small-signal stabilities. Unlike other renewable distributed generations, the variability of power from solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated in the distribution network. Hence, the variables related to small-signal stability are included and constrained in the model, unlike what is obtainable in the current works on the planning of optimal allocation of renewable distributed generations. Thus, the model is motivated to maximize the penetration of renewable powers by minimizing the net present value of total cost, which includes investment, maintenance, energy, and emission costs. Consequently, the optimization problem is formulated as a stochastic mixed integer linear program, which ensures limited convergence to optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as improvement in welfare costs and environmental goodnessItem Enhancing Small-Signal Stability of Intermittent Hybrid Distributed Generations(2020 5th International Conference on Renewable Energies for Developing Countries (REDEC), 2020-01-01) Ajeigbe, Olusayo A.; Munda, Josiah L.; Hamam, YskandarThe variability of large-scale photovoltaic/wind hybrid distributed generation power integrated into the distribution system causes persistent system oscillations. The oscillations result in serious small-signal stability issues when these distributed generation units are not adequately optimised and the network dynamic variables are unconstrained as seen in the existing renewable power allocation planning works. In this paper, planning and design of optimal allocation (sizing, placement) and timing of intermittent renewable energy hybrid distributed generations such as photovoltaic and wind is being investigated with the ultimate goal of maximising the renewable power generated and absorbed into the distribution network within the required smallsignal stability level at a minimum net present value of total cost. The problem is formulated as a stochastic mixed integer linear program where variables related to small-signal stability are constrained. The paper also evaluated the impact of these renewable generation output power variability on the smallsignal stability of the IEEE-24 bus test system using eigenvalues analysis. The results indicate a profound improvement on the small-signal stability of the network, an increase in the quantity of renewable power absorbed and a significant reduction in the costs of emissions and electricity.Item Renewable Distributed Generations’ Uncertainty Modelling: A Survey(IEEE PES/IAS PowerAfrica, 2021-01-27) Ajeigbe, Olusayo A.; Munda, Josiah L.; Hamam, YskandarRenewable energy distributed generation is reaching an unprecedented level of integration into power generation systems due to its numerous advantages. However, its increased penetration compounds the level of uncertainties being coped with in distribution systems. This aggravates the difficulty in making decisions in the context of large-scale penetration of renewable distributed generations, especially with the intermittent ones. Consequently, the analysis of uncertainty and modelling of the related system parameters is essential. This paper aims to provide a state-of-the-art review on uncertainty modelling approaches for distribution system studies and applications. This work focuses mainly on classifying and comparing the uncertainty modelling approaches and methodologies, presenting mathematical syntax of the methods, as well as the merits and demerits of the modelling methods. This study serves as the knowledge warehouse and selection tool for choosing the most suitable method for various applicationsItem SIMULATION AND ANALYSIS OF FAULTS IN DISTRIBUTION NETWORK SYSTEM IN OGBOMOSO UNDERTAKING WITH DISTRIBUTION RELIABILITY INDICES(International Journal of Current Research and Applied Studies, (IJCRAS), 2022-08-01) Adenle, Johnson Gbadebo; Koledowo, Saliu Oyewale; Abubakar, BawaDistribution network accounts for more than 90% of power service disruptions. This study present fault occurring on power distribution network using Ogbomoso Business hub as a case study consisting of four feeders namely: Takie, Oke-Ado, Owode and Gambari feeders. Simulation and Modeling were carried out using MATLAB/Simulink software package. Faults data are obtained for selected feeders using fault log book from the station under study. Analysis of fault is accomplished using MATLAB Software and associated with statistics measures (Distributed reliability indices). Reliability indices is therefore computed for each of the four feeders. The result shows that the Average Service Availability Index for Takie, Oke-Ado, Owode and Gambari feeders are 99.884%, 99.843%, 99.888% and 99.950% respectivelyItem FEASIBILTY STUDIES OF A PROPOSED HYBRID POWER GENERATION SYSTEM FOR A COMPUTER CENTER IN A REMOTE STATION(International Journal of Technical Research and Applications, 2016-08-01) Omogoye, Okeolu Samuel; Ogundare, Ayoade Benson; Oyetola, Jamiu Babatunde; Keshinro, Kolawole Kazeem; Adenle, Johnson GbadeboThis paper presents the feasibility study of a proposed Photovoltaic/Diesel power generation hybrid system for a remote computer centre in Nigeria. This design comprises the correct determination of station electrical daily load consumption and station solar radiation data. These data are used to determine the hybrid components sizes and its configuration via the use of HOMER software for design and simulation. The simulation results were used to carry out the optimization of this system based on twenty five years life expectances. Analyzing the hybrid power generation system (HPGS) helps in determining the cost effect, the level of emission and optimizes the size of the system. This analysis shows that the HPGS has lower cost, emit less harmful gaseous substances and give reasonable system sizes leading to reduction of energy wastage as compared to conventional stand alone Diesel generator. However, the final design perfectly meets the station energy requirement. Hence, (HPGS) is a recommended solution for this application.Item Estimation of the Wind Energy Potential of Kebbi State Based on Weibull Distribution Function(International Journal of Innovative Science and Research Technology, 2023-02-01) SHAMSUDEEN, Umar; SAIDU, Sunbo Akanji; ABDULHAKIM, Akinlabi Abiola; ADENLE, Johnson G.The performance of a proposed energy source depends on the breeze distribution pattern for a region. This study was embarked upon to estimate the wind energy potential in Kebbi State based on Weibull distribution function. Estimation of the potential the proposed energy source in the region provides a means of establishing the viability of deploying energy source in generating electricity in that region. The Data on Breeze speed in Kebbi State spanning a period of five years (2017-2021) was obtained from Nigeria Metrological Agency (NIMET). The mean speeds were obtained at a height of 10.1m and transformed to a height of 50m using power law coefficient value of 0.143 to allow for accurate evaluation of energy source to compensate for height of modern wind turbines. The study revealed that monthly mean breeze speed values for Kebbi State was mostly between 3 to 4minutes per second. The maximum monthly rate is 6.372 minutes per second was recorded in February. From the results obtained, the shape parameter range between 1.404 and 1.844 an indication that the wind distribution is skewed towards lower velocities. The average power density value for the years studied was found to be 64.88(W/m2). This result classifies Kebbi State using the European Wind Energy Association (EWEA) as poor. However, the wind energy distribution in the study area could be used to power light loads. Selection of α value of 0.4, a factor which depends on the terrain improved the monthly wind speed to a range of 2.531 m/s to 9.733 m/s. The mean yearly velocity also range from 4.486 m/s to 7.731 m/s. These values is greater than the yearly mean speed range of 2.863 m/s to 4.933 m/s recorded when α is 0.143 This increment in wind speed will greatly impact on the breeze power density of the region. The study therefore recommended that further work should be done to determine the actual value of power law coefficient (α) in Kebbi State to enable us take a more decisive decision on the energy potential of Kebbi State. However, to deploy wind energy on a large scale in Kebbi State effort has to be geared towards designing wind turbine with low rated speed to match the frequency probability distribution in Kebbi State.Item DEVELOPMENT OF A PC SOFTWARE BASED WIRELESS WEATHER MONITORING SYSTEM FOR DATA ACQUISITION(International Journal of Scientific Development and Research (IJSDR), 2023-08-01) Ogunkeyede, O.Y.; Olatunde, T.M.; Ekundayo, O.T; Adenle, J.G.; Komolafe, T.AAccurate monitoring and measurement of weather conditions with the parameters are important for weather analysis in evaluating the performance and prediction of the future of the raining and sunny days. However , these systems requires intensive human efforts and are sometimes inaccurate in its prediction which is aimed at the development of a cost-effective parameter-measuring and logging system for weather conditions. Wireless weather monitoring stations are created to monitor weather virtually or remotely without the requirement of direct human efforts. Therefore, the system is designed to implement sensors which accurately acquire digital data passed to a microcontroller for the storage and processing of these data. This journal focused on the developed and implementation of a software wireless weather monitoring system to be able to sense temperature, humidity and light intensity for normal use by regular users, application in agriculture, science laboratories, industries and creation of weather reportsItem Comparative Analysis between Biogas Yield of Human Waste, Kitchen Waste and Solar PV for the Generation of Power in A Remote Station(IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 2020-08-01) ADENLE, JOHNSON GBADEBO; AKANJI, SAIDU SUNBOHigh cost of power and environmental hazards such as CO emission and noise pollution produced by diesel generators has made the use of renewable energy source very necessary. Biogas and solar power are renewable energy sources which can be utilized as a backup in case of power interruption. The present work focuses the ability of biogas production using both human and kitchen waste of a selected building to generate electricity. The expected biogas yield, power generated output, total component cost of the system and payback period is compared to total component cost of installing solar PV system for the same load. The analysis enable us to ascertain the viability of biogas compared to other renewable energy resources. These data are used to determine the standalone component sizes, installation cost and the pay-back periods of both systems. Each component part of both systems were sized according to the load and appropriate costing and its equivalent payback period of 8 years 5 months 8 days and 61 days for solar PV and biogas was obtained respectively. The results obtained were used to determine which of the system is economically friendly and cost effective. Analysis shows that it is cheap, profitable, economically friendly, cost effective and reliable when biogas plant is used as an alternative source of power supply compared to standalone solar PV system. However, the sizing and estimation perfectly meets the station energy requirement. Hence, biogas plant is recommended for this application due to its economic viability.