Browsing by Author "Salami, Momoh Jimoh Eyiomika"
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Item Development Of A Cloud-Based Condition Monitoring Scheme For Distribution Transformer Protection(Universitas Sriwijaya, Indralaya, Indonesia, 2023-02) Abdullateef, Ayodele Isqeel; Issa, Abdulkabir Olatunji; Sulaiman, Abdullah; Salami, Momoh Jimoh Eyiomika; Otuoze, AbdulrahamanDistribution transformers are a necessity to ensure a reliable power supply to consumers and their inability to function properly or even breakdown should be avoided due to the high cost of replacing them. Distribution transformers are large in numbers and randomly distributed in cities and there is a need to accurately monitor their daily/hourly performance. To achieve this, real-time monitoring of the transformer’s health status is proposed rather than the use of the traditional approach involving physical inspection and testing which is slow, tedious and time-consuming. This paper presents a cloud-based monitoring scheme applied to a prototype distribution transformer. A 10kVA, 0.415 kV prototype distribution transformer has been acquired and connected to three residences for data acquisition. A data acquisition system has been developed to monitor and record the parameters of the prototype transformer for 14 days. The parameters, monitored in real-time include load current, phase voltage, transformer oil level, ambient temperature and oil temperature. The acquired real-time data of the transformer is validated with the standard measuring instrument. An algorithm was developed to transmit and log the data to ThinkSpeak cloud server via node MCU (ESP 8266). Results obtained in this study, which can be visualized via the graphical user interface of ThinkSpeak, indicate that the proposed scheme can acquire vital data from the distribution transformers and transmit the information to the monitoring centre.Item Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm(by Institute of Physics (IOP), 2013) Salami, Momoh Jimoh Eyiomika; Tijani, Ismaila Bayo; Abdullateef, Ayodele Isqeel; Aibinu, MusaA hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). The proposed algorithm involves a two level optimization scheme to search for both optimal network architecture and weights. The DE at the upper level is formulated as combinatorial optimization to search for the network architecture while the associated network weights that minimize the prediction error is provided by the GA at the lower level. The performance of the algorithm is evaluated on identification of a laboratory rotary motion system. The system identification results show the effectiveness of the proposed algorithm for nonparametric model developmentItem Intelligent SCADA based monitoring scheme for low voltage distribution system(In Mechatronics book series: Robotic and Automation. IIUM Press, Kuala Lumpur, 2011) Abdullateef, Ayodele Isqeel; Salami, Momoh Jimoh EyiomikaItem Network Reconfiguration for Power Loss Reduction on Distribution Feeder Using Particle Swarm Optimisation: Case study of 11kv Feeder in Ilorin, Nigeria(Federal University of Oye-Ekiti, 2023-03) Abdullateef, Ayodele Isqeel; Raji, Bello Sunday; Gbenle, Abimbola Joan; Salami, Momoh Jimoh Eyiomika; Alao, Rasaq AtandaThe distribution system is the largest segment of the electrical power system and the final stage in delivering electricity to consumers. It experiences power losses which could be technical or non-technical due to its radial configuration and connected components. Technical losses occur as energy dissipation in the form of heat in the system components, which is unavoidable. It affects the efficiency of the system and increases operational costs. Therefore, the reduction is essential for adequate power supply and improvement in utility revenue generation. This study focuses on reducing power losses on 11 kV Taiwo distribution feeder in Ilorin using the Network reconfiguration approach. The feeder was modelled, and its power losses were evaluated based on the Backward Forward Sweep method suitable for the radial network. The reconfigured network was optimised using the Particle Swarm Optimisation technique. The study shows that the values of feeder real power losses before and after reconfiguration are 176.883 kW and 121.972 kW, respectively. Further improvement was, however, achieved when PSO was used for the reconfiguration, as the power loss value stands at 98.465 kW. This is 44.33 % reduction compared to the initial power loss value and 19.273 % after reconfiguration. Furthermore, the values of the reactive power losses before and after reconfiguration are 9.474 kVar and 6.527 kVar, respectively, amounting to a 31.11 % reduction. However, PSO reduces the value to 3.101 kVar, which is 67.27 % of the initial value. Thus, radial distribution network reconfiguration using PSO has proven to be a robust method for reducing power loss in the distribution network.Item Sizing and Implementation of a Standalone Solar Photovoltaic System for a Three-Phase Submersible Pumping Machine(Faculty of Engineering, Ahmadu Bello University, Zaria, Nigeria, 2023-04) Abdullateef, Ayodele Isqeel; Issa, Abdulkabir Olatunji; Sulaiman, Abdullah; Issa, Abdulrasheed Yinka; Salami, Momoh Jimoh Eyiomika; Onasanya, Mobolaji AgboladeThe solar photovoltaic system is an alternative power supply source that could aid the economic growth of a nation. However, improper sizing of the system leads to a high installation cost and a low level of penetration in the energy mix. This study focused on the appropriate sizing and implementation of a standalone solar system for a three-phase pump machine in a farm in Ilorin, Nigeria. The pump rating was determined manually as 20HP, with a flow rate of 180,000 L/h. Consequently, the daily load and solar global horizontal irradiance data were acquired and used for sizing the PV system using HOMER Pro software. Fifty-six solar panels with a total area of 120.4 m2 were proposed and installed to achieve a total power of 22.4 kW required for the machine's operation. The levelised cost of energy was 0.4007 $/kWh as against the cost of energy when the farm was running on generators with an energy cost of 4.170 $/kWh. The economic analysis of the system for the farm shows the Net present cost and cost of energy of the system configuration are $28,341.91 and 0.4007 $/kWh, respectively.