JAREE (Journal on Advanced Research in Electrical Engineering)

Design Battery Charger With CC-CV Method for Series Connected Lithium-Ion Batteries Using Fuzzy Logic Controller

2025-02-03T16:24:42+07:00

Considering the many human needs, the existence of solar energy is considered very appropriate to help meet the energy needs consumed by humans. All the energy produced by solar panels can be stored using batteries which can then be converted into electrical energy. The battery will work when the energy stored in the battery is fulfilled, but if the use of the battery is carried out continuously it causes the energy in the battery to run out, so that the battery energy must be recharged immediately so that it can still be used again. charging which is used to recharge battery energy at this time unfortunately it still takes quite a long time to be recharged. Through the description of the problem, so that in study this is a tool fast charging use buck converter by using the method (Constant Current) CC-CV (Constant Voltage) on a Lithium-Ion battery. Buck converter This is necessary because the source used in this study is a solar panel which produces a very high voltage, so the voltage needs to be lowered by using buck converter. Using a 11.1V / 2.2 Ah LithiumIon battery. To keep the current and voltage constant, the charging process is carried out charging this current and voltage the output will be stabilized by Fuzzy Logic Controller (FLC). From the simulation results that have been carried out, it appears that the FLC has been able to stabilize the charging current of 2.2Ah and 11.1V.

Smart Microgrid : Power Monitoring And Management System With Self-Healing Ability

2025-05-02T09:31:14+07:00

This research presents a smart microgrid power monitoring and management system with self-healing ability. Solar power plants have been integrated into the microgrid, which previously relied on DG and PLN power supply. However, the system’s monitoring and control are limited. This study develops an effective, efficient and reliable smart microgrid using integration of online monitoring and control system, power management system and self-healing ability. Online monitoring and control system is effectively to monitor and control the microgrid, can detect and analyze potential fault on grid at ease. Power management system is necessary to enhance efficiency and reliability to optimize power distribution. Then, with self-healing ability, enable to detect, to prevent, to isolate and to recover fault on grid automatically, make the smart microgrids more efficient and reliable. Through the Siemens TIA Portal, the study compared the simulation results of a conventional microgrid system with a smart microgrid system incorporate with online monitoring and control system, power management system, self-healing ability. Using some fault scenarios, MTTD value, MTTR value and Availability Rate value are obtained. As result, the applied smart microgrid system decrease the duration to detect and to recover fault on microgrid efficiently, thus the reliability also increased significantly.

Health Monitoring Bracelet based on Internet of Things and Website

2025-02-03T16:24:43+07:00

Human mortality rates in the healthcare sector are often attributed to delayed detection of critical health conditions. Vital signs, encompassing metrics like heart rate, blood oxygen levels, and body temperature, play a pivotal role in assessing one's health status and guiding medical interventions. Nevertheless, prevailing vital sign monitoring techniques have limitations, including mobility constraints and reliance on bulky, costly equipment. To address these challenges and enhance physicians' monitoring capabilities, technology-enabled remote sensor readings via the internet are indispensable. However, according to Kominfo, some healthcare facilities, notably in Indonesia, lack internet access, with 3,126 out of 10,133 hospitals and health centers reported as lacking it as of October 2020. To bridge this connectivity gap and enable remote patient monitoring even in internet-deficient settings, this paper presents the design of an Internet of Things (IoT)-based health monitoring bracelet. This innovative bracelet facilitates remote tracking of heart rate, blood oxygen levels, and body temperature. Notably, it can transmit sensor data to a designated website, even in the absence of internet connectivity. Users can conveniently access their measurement data through an intuitive and user-friendly website interface, making this solution a promising tool for enhancing healthcare monitoring, particularly in resource-constrained environments

Leader-Follower Formation and Obstacle Avoidance for Nonholonomic Mobile Robots Using Velocity Obstacles

2025-02-03T16:24:43+07:00

A multi-robot system is a group of robots that coordinate and perform complex tasks with the help of a communication system. The commonly adapted approaches in multi-robot formation control include the leader-follower method, where the leading robot acts as the coordination center, and follower robots track the movement of the leading robot. Multi-robot formations are usually faced by static and dynamic obstacles in the operational environment. In this paper, the obstacle-avoidance challenge is tackled by adopting the concept of velocity obstacles in a way that enables the robots to efficiently consider not only the velocity of an obstacle but also its direction in order to avoid collision. The method is evaluated through several simulation scenarios in different environments. The simulation results show that the multi-robot formation version can successfully avoid static and dynamic obstacles and reform a formation right afterward from zero collisions.

Optimization Protection Coordination by Optimizing Time Dial Settings at PT. Pupuk Sriwidjaja Palembang Using Grey Wolf Method

2025-05-03T19:50:41+07:00

Overcurrent Rele (OCR) is an important component in the electric power protection system. One of the parameters that must be set on the OCR is the Pickup Current (Ip) and Time Dial Setting (TDS). To achieve optimum relay coordination by setting the time dial, several optimisation methods have been used such as Genetic Algorithm (GA), Particle Swarm Optimisation (PSO), Fire Fly Algorithm (FA) and Grasshopper Optimisation Algorithm (GOA).
In this study, the TDS setting was determined through Using the Grey Wolf Optimisation (GWO) method. The GWO algorithm was able to determine the optimum value of the TDS setting for each OCR process. This is validated by the results of tests conducted using the ETAP application. The primary and secondary relays are able to coordinate effectively to secure three-phase faults that occur on each bus.
Furthermore, GWO demonstrated a superior convergence rate in compared to GOA, therefore enhancing its capacity to identify a more optimal TDS setting value. Furthermore, the objective function of GWO is more effective than that of GOA, thereby enhancing its ability to function in a more optimal manner. The results of this test demonstrate that the GWO algorithm is a reliable method for directly identifying the optimal TDS setting value for determining relay coordination settings.
Keywords—Protection Coordination Overcurrent Rele ( OCR ), Short Circuit Maximum ( IscMax ), Time Dial Setting ( TDS ), Grey Wolf Optimization ( GWO ).

Tracking Socer Player Based on Deepsort Algorithm with YOLOV8 FrameWork

2025-02-03T16:24:44+07:00

Abstract—Tracking is a set procedure that entails assigning
anidentificationtoacertainobjectandsubsequentlycon-
sistently recognizing that object without altering the assigned
identification over a sequence of frame images and associating
itaccordingly.Whenperformingresearchonobjecttracking,
especially in sports where the object of interest is a human, a
resilient technology is necessary to facilitate the tracking process.
When the state-of-the-art object detection approach, YOLOV8,
is combined with the DeepSORT algorithm, it is anticipated to
produce highly accurate and exact outcomes in the tracking
and detection of objects. Challenges in multi-object tracking
include robustness, oculusion, and identity shifts. In our research,
we take advantage of a fusion of YOLOV8 and DeepSORT
algorithmstoachieveahighlyreliableandprecisetracking
solution. The implementation of the Kalman filter-based motion
prediction in DeepSORT allows for the achievement of smooth
trajectories, whereas the YOLOV8 deep neural network used
assists in precisely recognizing the appearance of objects on the
field. The result of our experiment shown the tracking we get is
38% HOTA, 47% DetA, 31% AssA, 68% DetPre, 35% AssRE,
61% AssPr amd 79% LOcA.
Index Terms—Tracking, DeepSORT, YOLO, MOT, Socce

Reducing Operational Costs in Sulselbar’s 150 kV System with Electromagnetic Field and Sine-Cosine Optimization

2025-02-03T16:24:44+07:00

Dynamic economic dispatch (DED) is a crucial task in modern power systems, requiring efficient optimization to minimize generation costs while satisfying operational constraints. This study introduces a Hybrid Electromagnetic Field Optimization with Sine-Cosine Algorithm (EMFO-SCA) tailored to address the unique challenges of the Sulselbar 150 kV power system. Specifically, the algorithm is designed to handle non-linear cost functions, complex constraints, and dynamic load variations across a 24-hour scheduling period. EMFO-SCA achieves a balanced integration of global exploration (via Electromagnetic Field Optimization) and local exploitation (via the Sine-Cosine Algorithm), resulting in robust optimization performance. Applied to a system with seven active generator buses, EMFO-SCA demonstrates an average operational cost reduction of 0.27% compared to the Kho-Kho Algorithm (KKA). This improvement translates to measurable cost savings while maintaining strict adherence to generation limits, ramp rate constraints, and power balance at all intervals. For instance, during peak demand at 521.52 MW (hour 12), the method effectively minimizes costs without compromising operational reliability. The dual-phase design of EMFO-SCA enables faster convergence and higher accuracy than conventional methods, making it a scalable solution for real-world DED challenges. By optimizing power generation schedules dynamically and reliably, this study establishes EMFO-SCA as a significant advancement in energy system optimization, with clear potential for practical deployment in similar power systems.

Analysis the Impact of Inset Fed Design with Reference Impedance of Rectangular Microstrip Patch Antenna using Neural Network

2025-05-02T09:52:48+07:00

Abstract -- Research on microstrip antennas is currently growing in prevalence, as their compact design and low cost make them simple to adapt to various needs. The goal of this study is to find out how the inset-fed depth affects the impedance matching of a rectangular microstrip antenna using a simple RMSA design. The author designs the antenna to operate at a frequency of 2.4 GHz with an FR-4 epoxy substrate and simulates it using CST Suite Studio 2019 software. The research shows that adding an inset fed with a depth of 5 mm results in an impedance value of 50.28 + j3.68 Ω, which is close to the desired impedance. The computation process using Neural Network reduces simulation time by 65% faster compared to CST simulation.

Integration of the XY-MD02 Module in an IoT-Based Humidity and Temperature Monitoring System with Graphic Display on Nextion LCD

2025-05-02T10:01:59+07:00

Abstract—Temperature and humidity monitoring is crucial in various industrial sectors such as agriculture, manufacturing and health. Integrating the latest technology, such as IoT (Internet of Things), opens up new opportunities to increase the efficiency and accuracy of monitoring systems. This research focuses on integrating the XY-MD02 module into an IoT-based monitoring system to measure and monitor humidity and temperature levels accurately. The system uses the XY-MD02 module to collect data, which is transmitted wirelessly to the server using the MQTT protocol. The collected data is processed and displayed in real-time on the Nextion LCD, providing an intuitive graphical representation of environmental conditions. Integrating the XY-MD02 module and Nextion LCD in an IoT-based monitoring system demonstrates practical and reliable humidity and temperature measurements. The average value of the measured temperature is 31.58 with a standard deviation of 0.17, indicating high accuracy in temperature measurement with low variation. Meanwhile, for humidity, the average is 62.34, with a standard deviation of 1.01. The system's compatibility with the MQTT protocol ensures smooth communication and data exchange between devices. Integrating the XY-MD02 module in an IoT-based monitoring system has proven successful in providing accurate and real-time monitoring of humidity and temperature, offering an effective solution in environmental monitoring by keeping up with the latest technological developments.