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All Journal International Journal of Recent Technology and Applied Science (IJORTAS) Journal of Engineering, Technology, and Applied Science (JETAS)
Ochima, Noah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Voltage Optimization on Low Voltage Distribution Transformer Zones Using Batteries in Uganda Iddi, Edema Simon; Umaru, Kalyankolo; Eze, Val Hyginus Udoka; Asikuru, Salama; Musa, Nassaga; Ochima, Noah
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0601.639

Abstract

In the context of Uganda's rapidly growing energy demands and the need for sustainable solutions, this study explores the implementation of voltage optimization techniques in Low Voltage (LV) distribution transformer zones. The research focuses on the innovative integration of batteries to optimize voltage levels, thereby enhancing the efficiency and reliability of the electrical distribution system. By analyzing real-time data from various LV transformer zones in Uganda, this study investigates the impact of voltage fluctuations on the overall power distribution network. The research methodology involves the design and deployment of battery energy storage systems (BESS) strategically placed within LV distribution transformer zones. These BESS units are utilized to store excess energy during periods of low demand and release it during peak hours, ensuring consistent voltage levels and minimizing losses in the distribution network. The study evaluates the effectiveness of this approach through extensive simulations and on-site experiments, considering factors such as battery capacity, charging/discharging rates, and load variations. A comprehensive cost-benefit analysis is conducted to evaluate the potential financial savings and environmental impact associated with this sustainable energy solution. The findings of this research indicate significant improvements in voltage regulation, reduced system losses, and enhanced reliability in LV distribution transformer zones. Additionally, the study demonstrates the feasibility of integrating batteries into the existing infrastructure, thereby contributing to the optimization of the energy distribution system in Uganda. The outcomes of this research provide valuable insights for policymakers, utility companies, and researchers, emphasizing the importance of embracing innovative technologies to address the energy challenges faced by developing nations like Uganda.
Modeling and Implementation of a Hybrid Solar-Wind Renewable Energy System for Constant Power Supply Mubeezi, Conceptar; Umaru, Kalyankolo; Eze, Val Hyginus Udoka; Jim, Migisha; Asikuru, Salama; Musa, Nassaga; Ochima, Noah; Okafor, Wisdom
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0602.655

Abstract

In recent years, Uganda has significantly increased the use of renewable energy sources, particularly solar and wind power. These energy sources are especially crucial in rural and remote areas where connecting to the national grid is challenging. Renewable Energy Sources (RES) have proven to be cost-effective alternatives to traditional energy sources, which often require substantial investments in transmission and distribution networks. This study focuses on designing and implementing a hybrid renewable energy system that integrates both solar and wind power. The research successfully established a reliable and continuous power supply for the community through the combination of wind and solar energy. The hybrid power generation system operates by simultaneously monitoring solar and wind energy using an ACS712 current and voltage sensor. Controlled by a microcontroller, the system employs dual-channel relay switches to activate the power source with sufficient energy to charge the battery. The programming for this system was conducted using C++ and Arduino software. This study highlights the vast potential within the field of sustainable energy. With rapid and economical electricity production, this hybrid system paves the way toward a greener future, where our energy needs can be met in an environmentally friendly manner.
Fuzzy-PID Control Design and Performance Analysis for PMSM Drives in Electric Vehicles Umaru, Kalyankolo; Ritah, Nafuna; Rodney, Mugabe; Nansukusa, Yudaya; Asikuru, Salaama; Ochima, Noah; Mutaburura, Pison; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.917

Abstract

The increasing demand for high performance and energy efficient electric vehicles has driven research into advanced motor control strategies for Permanent Magnet Synchronous Motors. This study investigates the design and performance evaluation of a Fuzzy PID controller as the speed regulator to address the limitations of the typical PID controllers in EV propulsion and a field-oriented control strategy is used. A conventional PID controller is initially implemented and tuned using the Ziegler-Nichols closed loop method. A Fuzzy Inference System is developed and then integrated with the PID controller to form a hybrid Fuzzy PID controller capable of adjusting the PID gains in real time. The performance of both controllers is evaluated under various test scenarios including speed variations, load disturbances, and parameter changes. Simulation results demonstrate that the Fuzzy PID controller significantly reduced overshoot by 0.5%, reduced rise time by 32.04%, improved settling time by 8.04%, and therefore enhanced system stability and responsiveness compared to the typical PID controller. These improvements validate the effectiveness of fuzzy logic in managing the uncertainties associated with PMSM control in EV applications.
Performance Optimisation of Hybrid Renewable Systems for Remote Off-Grid Electrification Umaru, Kalyankolo; Salim, Kaaya; Asikuru, Salaama; Ochima, Noah; Mutaburura, Pison; Nansukusa, Yudaya; Ritah, Nafuna
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 8 No 1: March 2026
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijortas-0801.988

Abstract

This research focuses on modelling, simulation and optimization of a HRES for off grid electrification in remote areas of Uganda using solar and wind as the renewable sources, targeting a community of 100 households and 10 medical centers in Rigbo Sub-County, Arua District. Using HOMER Pro software, five configurations were evaluated: solar only, solar and wind, solar with generator, wind with generator, and a combination of solar and wind with generator. Costs, electrical performance and environmental impact of the configurations were compared. Load profiles were developed by estimating a daily consumption of households and medical centers, scaled to total annual load of 189,500-189,581kWh. Results indicate that hybrid systems incorporating a generator, particularly the configuration of solar, wind and generator, outperforms others with the lowest total NPC and the lowest LCOE and no unmet load, while maintaining high renewable fraction and manageable CO2 emission. Future studies should focus on validating these simulation results with empirical data from actual pilot deployments in remote Ugandan villages to account for real-world weather unpredictability. Investigating more dynamic and diverse energy demand models would also provide a deeper understanding of consumption patterns beyond uniform assumptions. Exploring the integration of advanced energy storage technologies and smart grid management could offer ways to further reduce reliance on diesel generators while maintaining system reliability.
Co-Authors Asikuru, Salaama Asikuru, Salama Eze, Val Hyginus Udoka Iddi, Edema Simon Jim, Migisha Mubeezi, Conceptar Musa, Nassaga Mutaburura, Pison Nansukusa, Yudaya Okafor, Wisdom Ritah, Nafuna Rodney, Mugabe Salim, Kaaya Umaru, Kalyankolo Zaina, Kalyankolo