Programme: Electrical and Electronics Engineering
Permanent URI for this collectionhttp://itsupport.cu.edu.ng:4000/handle/123456789/28774
Here you will find works strictly related to Electrical and Electronics Engineering
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Item Evaluation and improvement of power quality of distribution network: a case study of Covenant University, Ota(Frontier Energy Efficiency, 2025-01-09) Samuel Isaac A.; Daudu Afah Toyin; Somefun Tobiloba E.; Awelewa Ayokunle A.; Abba-Aliyu ShehuPower quality is a global concern, particularly as electronic devices are increasingly supporting modern economies. This research evaluates and proposes improvements for power quality of the distribution network at Covenant University, Ota, Nigeria, where electrical equipment usage contributes to power quality challenges. Measurements and evaluations were carried out in three stages: first, measuring power quality at five campus powerhouses using a Circutor aR6 power analyzer; second, assessing these measurements with Power Vision software; third, simulating the evaluated network with NEPLAN software. The study was conducted during an active school session, with measurements taken at 500 kVA, 11 kV/415 V/230 V on the outgoing circuits for each transformer. The results were benchmarked against IEEE power quality standards and identified issues such as harmonics, total harmonic distortion (THD), overload, and a lagging power factor. The proposed improvements, derived from NEPLAN simulation, included active harmonic filters to reduce harmonics, a shunt capacitor for power factor correction, and load sharing for managing transformer overloads. Simulation results demonstrated that THD was significantly reduced across all powerhouses: CDS from 7.28% to 0.91%, EIE from 10.52% to 3.54%, CST from 16.03% to 0.58%, the Library from 11.92% to 0.12%, and the Male Hostel from 16.71% to 0.24%. These adjustments enhanced THD within specified limits. Additionally, the shunt capacitor increased the power factor to 0.96 from −0.96. These enhancements are expected to extend equipment life, reduce heat loss, and lower utility costs.Item Optimal Maintenance Strategy for Power Transmission Infrastructure(Conf. Series: Earth and Environmental Science 1492, 2024) Somefu T. E.; Oluseyi P. O.; Babatunde O. M.; Somefun C. T.; Longe O. M.; Samuel Isaac A.; Awelewa AyokunleIn modern electricity markets, reducing operational costs while improving reliability is a primary concern for power system operators. However, Nigeria's aging power transmission network remains vulnerable, necessitating the implementation of optimal maintenance strategies to enhance system reliability. This study introduces a method for mitigating degradation in transmission components through condition-based maintenance, using a hybrid approach that combines the nonhomogeneous continuous time Markov chain (NHCTMC) for system state detection and the differential evolution (DE) algorithm for optimizing maintenance actions. The method is tested on a substation transmission network under various maintenance scenarios. Results indicate a significant improvement in system reliability (90.3%) and an efficient condition-based maintenance strategy achieving 91.3% power delivery. This approach offers promising potential for enhancing the power delivery capacity of the network.Item Cuckoo search algorithm approach for optimal placement and sizing of distribution generation in radial distribution networks(International Journal of Electrical and Computer Engineering Vol. 15, No. 3,, 2025-06) Ojo Kayode; Fanifosi Seyi; Awelewa Ayokunle A.; Samuel Isaac A.Radial distribution networks (RDNs) often experience power loss due to improper distribution generation (DG) allocation. Strategic DG placement can reduce power loss, minimize costs, and improve voltage profiles and stability. This research optimizes DG placement and sizing in RDNs using the cuckoo search algorithm (CSA). The objective function considers losses across all network branches, and CSA identifies optimal DG locations and sizes. Tested on IEEE 33-bus, IEEE 69-bus, and Nigeria's Imalefalafia 32-bus RDN, the Cuckoo Search technique results in optimal DG locations at buses 6, 50, and 18 with corresponding sizes of 2.4576, 1.852, and 2.718 MW, respectively. Voltage improvements are 0.9509, 0.9817, and 0.9821 p.u, while total active and reactive power losses for IEEE 33-bus are reduced by 49.03% and 45.00%, and for IEEE 69-bus by 63.67% and 61.14%. The CSA approach significantly enhances voltage profiles and reduces power losses in these networks.Item Impact of solar photovoltaic injection on power quality covenant university distribution network(Scientific African, 2025) Samuel Isaac A.; Davies Henry A.; Awelewa Ayokunle A.; Abba-Aliyu Shehu; Katende JamesThis study highlights challenges and solutions and examines the effects of injecting Solar Photovoltaic Distributed Generation (PVDG) on Covenant University’s power quality (PQ) distribution network. Injecting solar PVDG helps the University to reduce grid dependency, lower carbon emissions, and improve energy efficiency. Real-time data of power quality parameters were collected using a 434 series II power analyser over 7 days, including weekdays and weekends during peak and off-peak hours. And the data were compared with IEEE standards. Simulation and analysis were done using both Neplan and Homer. Homer Pro was used to optimize PVDG integration, while Neplan was used for the load flow and harmonic analysis. The significant PQ disturbances identified include voltage imbalances, high total harmonic distortion (THD), and overloads. To address these issues, advanced compensation improvements were made using Unified Power Flow Controllers (UPFC) and Static Synchronous Compensator (STATCOM). Postinjection of the solar PVDG results showed a 0.89 % reduction in active power losses, a 1.3 % improment in power factor (PF), and a 15.6 % decrease in the source current at the 33 kV feeder. The results underscore the importance of optimized solar PVDG injection to maintain power quality and enhance network efficiency