Scholarly Publication

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Now showing 1 - 5 of 106

Sustainability Assessment of a Standalone Solar Microgrid for Optimal Operation.
(the School of Infrastructure, Process Engineering and Technology (SIPET) and School of Electrical Engineering and Technology (SEET), Federal University of Technology, Minna, Nigeria, 2024-06-01) Ogunbiyi, O; Adesina, L. M; Daniel, I. M
The nonlinear characteristics of output current and power in a photovoltaic source present challenges in establishing operating curves under various conditions. Existing models inadequately assess performance across all model parameters and series-parallel combinations. This study evaluates the performance of the solar power source at Kwara State University, Malete, Nigeria for optimal operation. Using the Sims cape library in MATLAB Simulink, the microgrid's basic components—photovoltaic source, inverter, and load—were modeled to examine operational characteristics under different conditions. Simulation results revealed the effects of solar irradiation and temperature on the photovoltaic source. The study also assessed the impact of maximum power point tracking control as the chosen control mechanism. Findings showed that the power source's performance falls short of simulated generation levels, suggesting areas for system improvement. The model not only serves as a performance analysis tool and microgrid capacity evaluation method but also lays the groundwork for overall system enhancement
Optimization Analysis of Dual-Mode Renewable Hybrid Power Systems: A Review
(University of Ilorin, Nigeria., 2024-12-08) B. O. Ariyo; L. M. Adesina; A. Musa; O. Ogunbiyi; B. J. Ojuolape; M. O. Balogun
The escalating threat of global warming necessitates a shift towards clean energy production, with renewable energy sources emerging as a promising solution for sustainable electricity generation. However, the inherent intermittency of renewables requires hybrid systems to maintain reliable electricity. This review explores the optimization of dual-mode renewable hybrid power systems, which operate in both grid-connected and autonomous modes, to address power stability challenges. By analyzing state-of-the-art methodologies, including advancements in control algorithms, architecture sizing, and energy management strategies, this work identifies methods for enhancing system efficiency and cost-effectiveness. Key findings demonstrate that optimized dual-mode systems improve power consistency and operational resilience. The review concludes by outlining a roadmap for future research, highlighting innovations in integration techniques, environmental assessments, and regulatory collaboration as crucial steps toward maximizing the impact of dual-mode systems in achieving global energy sustainability goals.
Comparative Analysis of the Reliability Assessment of Commercial and Residential Feeders in the Power Distribution Utility of Nigeria
(Elsevier Ltd., 2024-06-20) Lambe Mutalub Adesina; Olalekan Ogunbiyi; Bilkisu Jimada-Ojuolape
Reliability studies serve as valuable tools for assessing and optimizing system performance. Utilities with higher reliability indices are more likely to achieve break-even points due to significantly reduced downtime. This paper explores a comparative assessment of two 11 kV feeders supplying electricity to residential and commercial customers, addressing concerns about distribution system reliability in Nigeria and its impact on the country’s GDP. The study involves a comprehensive reliability analysis, utilizing a flowchart to outline procedural steps and employing the ETAP Software program for data analysis collected over a month period from a power utility company. The data encompass operational parameters such as day-hourly consumption, outage records, and network equipment data. Results indicate higher reliability indices in the commercial feeder compared to the residential feeder, with the Customer Average Interruption Duration Index (CAIDI) being lower in the commercial feeder. The research underscores the significance of reliability assessment in improving operational efficiency, facilitating maintenance planning, and enhancing customer satisfaction.
Experimental Analysis of Intrusion Detection Systems Using Machine Learning Algorithms and Artificial Neural Networks
(The Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU), 2024-02-01) Ademola Abdulkareem; Tobiloba Emmanuel Somefun; Adesina Lambe Mutalub; Adewale Adeyinka
Since the invention of the internet for military and academic research purposes, it has evolved to meet the demands of the increasing number of users on the network, who have their scope beyond military and academics. As the scope of the network expanded maintaining its security became a matter of increasing importance. With various users and interconnections of more diversified networks, the internet needs to be maintained as securely as possible for the transmission of sensitive information to be one hundred percent safe; several anomalies may intrude on private networks. Several research works have been released around network security and this research seeks to add to the already existing body of knowledge by expounding on these attacks, proffering efficient measures to detect network intrusions, and introducing an ensemble classifier: a combination of 3 different machine learning algorithms. An ensemble classifier is used for detecting remote to local (R2L) attacks, which showed the lowest level of accuracy when the network dataset is tested using single machine learning models but the ensemble classifier gives an overall efficiency of 99.8%.
Design, Implementation and Performance Analysis of an Off- grid Solar Powered System for a Nigerian Household
(Elsevier Ltd., 2023-06-08) Lambe Mutalub Adesina; Olalekan Ogunbiyi; Kayode Makinde
Solar panel converts direct current obtained from the sun into an alternating current which is often used in various applications. Photovoltaic (PV) power generation technology is used as a stand-alone system to bridge the power demand requirement due to increasing energy consumption. This paper aims to present the design, implementation, and performance analysis of an off-grid solar power system for a Nigerian household. A comprehensive design was done on Solar PV systems, parts and components, and the principle of operation. The average solar irradiance of the location was obtained from the data collation center at the Nigerian Meteorological Agency (NiMet). The method utilizes the development of a block diagram which shows the component layout and their connections and a flowchart which shows the procedure of achieving the objectives of the research. Battery efficiency, PV current measurement, current profile display, and commissioning of the installed PV system formed the results. Thereafter, Implementation and performance analysis was carried out. The load demand assessment shows that the power required was 23,820 Wh per day at maximum and 11,260 Wh per day when the diversity factor was applied (Table 1). Consequently, a 3500VA inverter was selected with a battery size of 800AH. The test result showed that with a load of 11,260 Wh the device supplied energy for about 24 hours uninterrupted. Therefore, the off-grid arrangement reduces the dependency on the grid and allows users to derive maximum satisfaction without having relied on public power utilities. • Obtaining annual solar radiation data from NiMet and determine the load estimation. • Set up experiment that determine; Battery efficiency, solar panel required and connection mode suitable to achieve the desired current rating, Inverter rating, Charge controller as well appropriate protective devices. • Installation of project compartments and the commissioning tests by categories of load injection.

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