Browsing by Author "Oladimeji Ibrahim"

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    Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
    (Elsevier Ltd, 2023-02-10) Oladimeji Ibrahim; Mutiu Shola Bakare; Temitope Ibrahim Amosa; Abdulrahman Okino Otuoze; Waheed Olaide Owonikoko; Esraa Mousa Ali; Lambe Mutalub Adesina; Olalekan Ogunbiyi
    Demand-side energy management techniques, such as load shielding, shifting, and delaying appliance operation during peak periods, are typically used to reduce electricity costs at the expense of users’ comfort. To address these challenges, especially where operational delays are unacceptable, distributed generation (DG) is frequently incorporated into the grid system to improve power balance and total energy costs. However, dynamic load demands and varying outputs from renewable DG sources such as solar photovoltaic (PV) systems make energy management in microgrids (MGs) extremely challenging. Moreover, most of the existing studies in this domain focus on objective functions that are geared on optimizing the economic balance between cost and value of MG operation over a certain time period. Nevertheless, research that took into consideration the stochastic behaviour of DG’s subsystems in addition to cost and benefit of MG operation are still limited. This current study proposed a fuzzy logic control (FLC) integrated energy management system (EMS) for commercial loads with hybrid grid-solar PV/battery energy system. The proposed technique intelligently selects energy sources using the grid energy cost and the state of charge (SoC) of the solar PV/battery at any time of the day. The EMS operates the loads at a reduced cost without any operational delay or shifting. The system was implemented in the MATLAB/Simulink environment, and the techno-economic feasibility of energy cost savings was investigated by comparing the developed scheme with the Homer hybrid energy system model for a hotel building. The developed EMS reduced energy costs by an average of 11.87 % per day and 7.94 % over a 20-year lifetime.
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    On-Load Measurement Methods for Distribution Transformers Operational Performance
    (Elsevier Ltd., 2020-10-24) Lambe Mutalub Adesina; Ademola Abdulkareem; Olalekan Ogunbiyi; Oladimeji Ibrahim
    Transformers are the most important equipment used in power systems. It ensures network stability and reliability. Transformer fails over time due to several factors such as overload, poor insulation, cellulose deterioration, poor dielectric strength of the oil, etc. However, transformer owners are finding it difficult to monitor the performance of distribution transformers (DT) in their place of application which results into system failure. Analyses of this distribution transformer performance required that a distribution transformer be put on-load and the secondary terminals link to Power Quality and Energy Analyzer equipment (Fluke 435 Series II). This paper presents a methodology of carrying out an experimental set-up of on-load reliability measurements of the two distribution transformers, 500 kVA and 300 kVA, 11/0.415 kV as a case study. Recommendations for the operations and maintenance engineers in charge to comply are discussed. This approach using the prescribed power quality equipment gives a reliable experimental method of evaluating the performance of distribution transformers. • Maintaining the selected distribution transformer on – load prior to and during the experiment. • The setting of an experimental circuit to determine the operational parameters involving DT connection to Power Quality and Energy Analyzer (PQEA) equipment. • It utilizes a personal computer to download the measured parameters for graphical and statistics analysis.