DSpace Angular :: Browsing by Author "Olalekan Ogunbiyi"

Browsing by Author "Olalekan Ogunbiyi"

Now showing 1 - 15 of 15

A Direct Optimal Control of the Jebba Hydropower Station
(Institute of Electrical and Electronics Engineering (IEEE), 2019-09-01) Olalekan Ogunbiyi; Cornelius T. Thomas; Benjamin J. Olufeagba; Ibrahim S. Madugu; Busayo H. Adebiyi; Lambe M. Adesina
The optimal power generation from the Jebba hydroelectric power station is subject to the reservoir operating head, weather-related factors, units’ availability and system dynamics. In this paper, a computer control system is designed to ensure safe operation and maximize power generation. The controller is an optimal controller, which determines the amount of inflow required to regulate the reservoir operating head. The control law is an optimal control procedure developed around the steepest descent and conjugate gradient algorithm. The algorithms determine the control signal and state trajectories for minimization of a performance index defined for the regulation of the reservoir operating head. The results show that the two techniques are feasible in estimating an optimal inflow needed to move the reservoir operating head from any level to the nominal head. The two techniques were compared under different operating conditions of the hydropower system, the conjugate gradient algorithm performs better in terms of computational time. The control algorithm is recommended for use in the realization of a computer control system for the station.
AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid lstm-cnn approach
(WisdomGale., 2024-12-29) Bashiru Olalekan Ariyo; Lambe Mutalub Adesina; Olalekan Ogunbiyi; Abdulwaheed Musa; Bilkisu Jimada Ojuolape; Monsurat Omolara Balogun
The increasing integration of renewable energy sources into microgrids (MGs) underscores the need for accurate demand forecasting to ensure stable and efficient MG operation. However, the inherent unpredictability of renewable energy sources presents significant challenges in energy management. This study aims to develop and validate an AI-driven demand forecasting model that improves prediction accuracy compared to traditional methods, thereby enhancing energy management in renewable MGs. A hybrid forecasting model that combines long short-term memory (LSTM) networks and convolutional neural networks (CNNs) was proposed. The model leverages historical energy consumption and meteorological data for training, ensuring robust and accurate predictions. Data preprocessing, training, and validation were performed meticulously to evaluate performance. The proposed model was compared with traditional forecasting techniques, including ARIMA and Exponential Smoothing, to assess its accuracy. The hybrid LSTM-CNN model demonstrated superior performance, achieving an R2 value of 0.87, a mean absolute error of 1.45 MWh, and a root mean squared error of 2.12 MWh. These results significantly outperform conventional forecasting methods, such as ARIMA and exponential smoothing, highlighting the model’s enhanced accuracy and ability to address key challenges in renewable energy forecasting. This study establishes the effectiveness of the hybrid LSTM-CNN approach in terms of improving the demand forecasting of renewable MGs. The model’s superior accuracy provides a reliable tool for real-time decision-making, energy distribution optimization, and cost reduction. Policymakers and energy stakeholders can use these insights to develop sustainable energy systems, with future research focusing on scaling up the model and exploring behavior and market pricing to improve forecasting precision.
Artificial Neural Network Algorithm Based Short–Term Load Forecasting for Medium Voltage Networks
(Asian research publishing network, 2021-08-01) Lambe Mutalub Adesina; Busayo Hadir Adebiyi; Olalekan Ogunbiyi
Electrical energy is generally known that it cannot be stored. Therefore, it is generated whenever there is a need or demand for it. Thus, it is imperative for power utility companies that the load on their systems should be estimated in advance while such estimation of load in advance is referred to as load forecasting. The forecasting could be short, medium, and long terms depending on certain parameters in consideration. Short term load forecasting method usually has a period ranging from one hour to one week. It often assists in approximating load flow, and in making decisions that can intercept overloading. Also, short term forecasting provides obligatory information for the system management of daily operations and unit commitment. This paper presents an Artificial Neural Network-based model for Short-Term Electricity Load Forecasting. The performance of the model is evaluated by applying the hourly load data of a leading power utility company in Nigeria to predict the required load of the next day in advance. These hourly load data were obtained from two number 33KV feeders; namely the Government House and Sabo-Oke. Also, the data were normalized and then loaded into the model. The model was trained in MATLAB R2020a neural network Simulink environment. The simulation results show a good prediction accuracy for the two domains.
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.
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.
Development of an Ultrasonic-based Digital Height Measurement System
(Published by the Delta State University Journal, Abraka, Nigeria, 2023-10-27) Olalekan Ogunbiyi; Lambe Mutalub Adesina; Daniel Abayomi Ajala; Isaac Onimisi Yusuf
This paper presents the design, sensor selection, circuitry, firmware development, and testing of an ultrasonic-based digital height meter. An Atmega328 microcontroller is used in the design to handle sensor measurements as it investigates the utilization of HC-SR04 ultrasonic sensor technology. Firmware was developed in the Arduino IDE environment, and the sketch was uploaded to the microcontroller. The designed circuit was constructed on a Veroboard, and the casing was designed for convenience of use. Ultrasonic digital height meters are more accurate, dependable, and quick when compared to hospital meter rules. The apparatus was mounted at a height of 2 meters to ease the measurement of humans. Results from the measurement of nine people were compared with those of the hospital scale, and a percentage error of 0.55% was obtained. A digital height meter can be a very useful instrument for many different applications, including medical, educational, engineering, and surveying, with careful planning and implementation
Development of Embedded Control for a Repetitive Pick and Placed Robotic Arm
(FUOYE Ado-Ekiti, Nigeria, 2023-06-01) Olalekan Ogunbiyi; Taiwo O. Idowu; Lambe M. Adesina
Manual execution of tasks is usually strenuous and exhaustive, some tasks may be repetitive in nature such that it requires full concentration. Nowadays, the integration of robotics into commercial and industrial activities to perform repetitive, dangerous, and difficult is becoming a norm. This work focuses on the implementation of a robotic arm. The robotic arm was designed to have six degrees of freedom. The control circuit includes an embedded Atmega328P microcontroller interfaced with servomotors and other glue electronic components such as sensors and buttons. The system is structured and programmed to operate automatically, performing a repetitive routine. The rotation and orientation of the device were tuned by sending required pulse width modulation (PMW) signals to different servomotors, such that they rotate as desired. The system employs six potentiometers in varying the duty cycle generated by the microcontroller. The system is structured such that three servomotors manipulate the motion of the body, the shoulder, the arm elbow, and the base. Manipulations of the end effector were also carried out by another three servomotors, each one controlling the gripper pitch, the movement of gripper spin, and that of the gripper itself. The constructed robotic arm gives a good response when tested for repetitive picking of objects. A similar acceptable performance was repeated in the autonomous lifting and dropping of objects items.
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.
Development of Nanotechnology-Piezoelectric Energy Generation
(R. M. Patel, Amreli with editor.ijtsrd@gmail.com., 2023-02-01) Issa Lukman Oluwadare; Lambe Mutalub Adesina; Olalekan Ogunbiyi
Since the invention of Piezoelectric nanogenerator in 2006 by Zhong Lin Wang a Chinese-American physicist, materials scientist, and the engineers that specialized in nanotechnology. Nanotechnology has made it possible for devices to work without an external power supply. This is a crucial step forward in the quest to solve the world's energy problems and create a sustainable future. We are always pushing the boundaries of what's possible in energy generation and storage. The development of nanotechnology-piezoelectric energy generation is no exception. Nanotechnology has become a rapidly growing field in recent years, offering new and innovative solutions to a wide range of challenges facing humanity. One of the most promising applications of nanotechnology is the development of nanoscale piezoelectric energy generators which have the ability and capability to harvest energy from several sources and convert it to usable electricity. This technology is based on piezoelectric effect which produces quantities of electric charge in response to mechanical stress. By fabricating piezoelectric materials at the nanoscale, it is possible to create devices that are highly efficient and capable of converting even small amounts of mechanical energy into usable electricity. This article provides an overview of the current state of the art in nanotechnology -piezoelectric energy generation, including the materials and techniques used to create these devices, as well as their performance and potential applications. More so, the challenges facing the widespread adoption of nanoscale piezoelectric energy generators are also discussed, including issues related to cost, scalability, and durability. Despite these challenges, the benefits of this technology are significant, and the continued development of nanotechnology-piezoelectric energy generation has the potential to revolutionize the way we think about energy generation and storage in the future.
Effects of Ground Resistivity and Tower Structural Design on Transmission line Symmetrical Components
(Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences, 2020-05-01) Lambe Mutalub Adesina; Ademola Abdulkareem; Olalekan Ogunbiyi
Electric power transmission towers are line support that exists in different structural configurations depending on the design. Parameters in consideration for the design include proposed voltage and current ratings to be carried by the tower, weights of the Aluminum conductor, and the weight of the Concrete foundation on which the tower would be erected. It is often reported that ground resistivity of the ground on which an electric power transmission tower is erected has significant effects on earth faults and transmission losses on the line. This paper presents an investigation of the effects of ground resistivity and tower structural design on transmission line symmetrical components. Symmetrical component parameters’ evaluation of the transmission lines approach is considered the best option. Ten differently structured transmission towers were selected for the case study. The effects of installing these ten towers on each of the available ground resistivity types were examined. Modern computer software was developed to carry out this investigation. The results are presented and discussed. It was observed that at each location of a tower, ground resistivity plays a vital role in measuring the performance of the tower in an electric power supply stability and reliability.
Newton-Raphson Algorithm for Power Flow Solution and Application
(Faculty of Communication and Information Engineering, University of Ilorin, Ilorin, 2020-05-01) Lambe Mutalub Adesina; Olalekan Ogunbiyi; Ganiyu Adedayo Ajenikoko
Power system insecurity often leads to frequent power system collapse. Experience has shown that power utility companies are generally poor in network argumentation and planning. For example, it is required that any new project must be simulated to ascertain its effects on networks before carrying out the construction. The simulation could be used to investigate the bus voltage profile, power flow, losses, overvoltage condition, etc. Consequently, this paper presents a Newton-Raphson algorithm for power flow solution and the application of the developed Q-basic computer software package to a large power system network. It involves the formulation of algorithms and development of flowcharts which were used to determine the steady-state operating conditions of buses, generation, branch power flows and circuit system losses of the case study network considered. The results obtained are presented and discussed. The fast convergence of the system at the fifth iteration confirmed the effectiveness of the software and the accuracy of the results. Having previously tested the software with a known solution network and work fine, suggest the results obtained are accurate and reliable. Transmission lines with high reactive power need the installation of equipment capable of reducing the reactive power. Buses with voltage values a little less than acceptable standard needs improvement.
Numerical Approximation of Indirect Optimal Control of Jebba Hydroelectric Power Plant
(Asian research publishing network, 2021-01-01) Olalekan Ogunbiyi; Muheeb O. Ahmed; Lambe M. Adesina; Benjamin J. Olufeagba
There has been unending research on the utilization of hydropower resources in Nigeria with several models proposed for an optimal generation. Of great importance among these models are those that are useful in system management and controller design. This paper presents an optimal control problem that is formulated around a system model for the regulation of reservoir operating head at Jebba hydroelectric power plant. It also presents a means of solving a two-point boundary value problem resulting from an optimality equation. A conjugate gradient algorithm was adopted as an iterative numerical technique for the approximation of the optimal inflow required to ensure that the operating head follows a predefined trajectory. The result shows the feasibility of the control algorithm, its independence on the initial guess for the control, and a relative error of 0.2% between the setpoint and the computed terminal operating head. The solution provides a means of optimal power generation on the cascaded Kainji-Jebba hydropower stations and recommended in the realization of the physical controller.
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.
Symmetrical Components of Transmission Line Parameters based on the Installed Tower Ground Resistivity
(Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences, 2020-03-01) Lambe Mutalub Adesina; Ganiyu Adedayo Ajenikoko; Olalekan Ogunbiyi; Tosin Samuel Oluwafemi
Transmission is a component of the electric power system alongside the generation and distribution systems. Effective and efficient planning is often required in system design and operation to ensure consistency and reliable supply of power to the Customers. Thus, transmission line parameters analysis needs to be carried out to ensure this proper planning. One of the crucial equipment used in transmission’s overhead lines is Tower supports which are of different configurations considering the Structural design, voltage ratings, and current transmission. Very often, towers are randomly installed to carry lines of the chosen voltage and current rating without considering the effects of earth resistivity on which the tower is installed. This paper presents the transmission line symmetrical component parameters evaluation of a chosen Transmission tower. An algorithm was developed, and a Python software program was used to implement this algorithm for the analysis. In achieving the target, the selected tower was imagined to have been erected on six different earth resistivity grounds which include, Sea water, swampy ground, pure slate, sandstone, and general average ground. Symmetrical component parameters evaluated include impedance, characteristics impedance, propagation constant, shunt admittance, and capacitive susceptance as they were found to be important in the effective monitoring of power transmission and distribution. The results of the analysis are presented and discussed. These results show that capacitive susceptance is independent on the tower's earth resistivity and varies for different tower structural configurations while other parameters vary with the earth resistivity value of the tower. Furthermore, regular line parameters monitoring is a measure that minimizes power transmission losses in networks.
Web-based Software Application Design for Solar Photovoltaic (PV) System Sizing
(Universitas Ahmad Dahlan (UAD) in collaboration with the Institute of Advanced Engineering and Science (IAES)., 2021-12-01) Lambe Mutalub Adesina; Olalekan Ogunbiyi; Mustapha Mubarak
The solar photovoltaic (PV) energy source systems generally rely on the availability of sunlight, its duration, and the capacity of storage devices if it is not a grid-tie system. The components of the PV sources come in different sizes and capacities, depending on the various applications and available products in the market. Therefore, sizing of PV components becomes important to the functionality and reliability of solar PV sources. This work is aimed at the development of a web-based software application designed for sizing the capacity of solar PV source components that meet the required energy demand. A description of photovoltaic system components, available types, and sizing techniques are discussed. Parameter evaluation algorithms with flowcharts were developed for PV components. Consequently, web-based software was developed and simulated for a different case study. The results described the estimated load, average daily load, ratings of PV system components such as inverter, battery, solar panel, and charge controller. The cost estimates of each component, the total estimated cost of the project, and the specification of components' purchasing store are similarly presented. Thus, the developed application can be applied to size different ranges of microgrid systems meant for several applications.

Browsing by Author "Olalekan Ogunbiyi"

Results Per Page

Sort Options