Department Of Electrical Engineering Research Articles

A differential current based protection scheme for DC microgrid

A continuous increase in greenhouse emissions has led to more frequent use of renewable energy resources. The increased emergence of DC loads in day-to-day lives has further led to conversion to DC distribution lines. In prospect of getting more environmentally friendly, economical, and reliable power delivery a DC micro grid was developed and has become more common in recent years. The disaster management cell located at the Department of Electrical and Electronics Engineering has designed a DC micro grid which consists of sources provided from the grid, a battery bank, and an array of solar cells supplying to a set of nine loads, which are segregated into three sets of three loads each. This paper presents a protection scheme for the buses present in a micro grid that is based on the differential current principle. It is done with the help of a centralized protection controller that enables fault identification and fault isolation. This protection scheme is further extended to a DC ring-bus micro grid, where the centralized protection controller enables fault identification, fault location, and fault isolation. MATLAB/Simulink is used to obtain the simulation and verify the results.

Experience of Project-Based Learning: Challenges, Assessment, and Analysis

Though theoretical knowledge is essential, there is a growing belief that when teaching applied sciences, particularly engineering, a great emphasis should be placed on the development of students’ practical skills. Therefore, some courses and curricula need to be revised to enhance the current state of education in this field. This can be achieved through the introduction of project-based learning (PBL). The PBL approach is ideal for teaching engineering disciplines because its framework promotes critical thinking and problem-solving skills, which are essential for a professional engineering career. This paper explains the implementation and comparative analysis of the PBL method in the departments of Electrical Engineering and Biomedical Engineering at King Faisal University. The challenges faced in this implementation include incorporating the PBL approach into the departments’ overall instructional technique, defining the roles of PBL coordinators, and addressing the characteristics of the PBL problems that arise in the courses offered. Furthermore, the implementation of PBL projects is evaluated based on the common courses offered in both departments. It is taken as an example and assessed based on problem-solving, teamwork skills, and the outcomes of accreditation board for engineering and technology. The results of this implementation are reported in this paper. Furthermore, we actively shared our experience managing course projects remotely during the fall semester, which COVID-19 impacted. Recommendations for future work are discussed, emphasizing the importance of having sufficient resources and fostering collaboration with industry and researchers from diverse disciplines.

Control Systems Group, Department of Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa [Institutes in Control

Control Systems Group, Department of Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa [Institutes in Control

The effectiveness of the SPjBL learning model in improving creative thinking skills of electrical engineering students

One of the problems that is often encountered in the current study of the electrical engineering department is students’ low level of creative thinking skills. Therefore, this study aimed to test the effectiveness of the Sustainable Project Based Learning (SPjBL) learning model in improving the creative thinking skills of electrical engineering students. The experimental model used in this research was classroom action research. The research method used was an experiment with data obtained from 69 respondents from two groups of students. The obtained data were analyzed using an independent t test and NGain Score. The results showed that the SPjBL learning model was effective in improving the thinking skills of electrical engineering students. Furthermore, this research is expected to provide a comparison in determining the type of learning model that is suitable for teaching-learning activities at schools.

Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

In this research project, the optimal design and design evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, and diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. The study’s test location was the loads in the Electrical, Electronic and Communication Engineering (EECE) department at Pabna University of Science and Technology (PUST), Pabna, Bangladesh. DIgSILENT PowerFactory was employed to determine the power system-based behaviors (electrical power, current, voltage, and frequency) of the proposed hybrid system, while a derivative-free algorithm was used for the expense, optimal size, and emission assessments. While developing the microgrid, load following (LoF) and cycle charging (CyC) control were employed. The microgrid is supposed to have a 23.31 kW peak load requirement. The estimated microgrid’s levelized cost of energy (LE), its net present cost (NC), its operating cost, and its annual harmful gas emissions were estimated in this work. Additionally, since the microgrid is grid-connected, the amount of energy output that might be exported to the grid was also estimated, which will potentially increase during blackouts. The power system responses found in this study ensure that the various microgrid components’ voltage, frequency, current, and power outcomes are steady within the designated range, making the microgrid practical and robust.

Peningkatkan Pemahaman dan Minat Siswa SMKN 1 Kalinyamatan Jepara pada Internet of Things (IoT): Pelatihan dalam rangka Perayaan Dies Natalis Teknik Elektro UNISNU Jepara

In the context of community engagement, the Student Association of the Electrical Engineering Program (HMPSTE) at Nahdlatul Ulama Islamic University (UNISNU) Jepara conducted an Internet of Things (IoT) training as part of the celebration of the Dies Natalis of the Electrical Engineering Department at UNISNU. The main issue addressed was enhancing the understanding of students from SMKN 1 Kalinyamatan Jepara regarding the concepts and applications of IoT in daily life. The method employed involved a practical and interactive approach, with direct instruction by Ahmad Faidlon a lecturer in Electrical Engineering at UNISNU Jepara with expertise in IoT. The material was presented in an easily understandable language, providing fundamental knowledge about IoT, its principles, and examples of its implementation in various fields. Interactive strategies included Q&A sessions and direct discussions between students and the speaker. The results of the community engagement encompassed an improved understanding of IoT technology among students and a heightened interest in the field. Muhammad Wildan Aufal Addiyan, Chairman of HMPSTE UNISNU Jepara, expressed satisfaction with the success of the training, hoping it would motivate and provide new insights to students regarding the latest technological developments. A participant in the training also expressed gratitude, stating joy over the clarity and attractiveness of the material presented. Through this training, HMPSTE UNISNU Jepara contributed to the development of technological knowledge among students at SMKN 1 Kalinyamatan Jepara, creating a positive moment in the celebration of the Dies Natalis of the Electrical Engineering Department at UNISNU, and strengthening the bond between students and the community.

Design of prototype for the short circuit protection of DC bus using Arduino Uno and DSP controller

Micro-grids (MGs) play a prominent role in the exchange of bulk power between loads and the central grid. MG can run in an islanding mode or grid-connected mode. When the central grid fails to provide power in such situations, MGs serves as power sources for critical facilities such as coordination facilities in railway stations and airports, transportation, university and research facilities. MGs use energy sources such as solar, wind, hydro, geothermal, and biomass to produce electricity along with rechargeable batteries, aircraft applications is continuously increasing. This leads to the development of DC MGs. A model of DC MG is located at the disaster management lab in the Department of Electrical and Electronics Engineering. The MG consists of step-downed and rectified DC power supply from conventional 230 V AC source, a PV array, wind, and a battery bank a source supplying power to a set of nine DC loads. Although DC MGs have many advantages compared to AC MGs, one of the challenges faced is the study of faults and protection of the DC MG. In this paper, a prototype for the existing system in the disaster management lab is designed in hardware and tested.

Kinerja Inverter 500 W untuk PLTS Skala Kecil

At Electrical Engineering Department of Politeknik Negeri Malang, there is an EBT learning module in the form of solar panel with small capacity, namely 80 Watts. The only load that can be supplied is DC load because there isn’t installed inverter. Therefore, it is necessary to determine the inverter specifications to be installed in small-scale solar system. This research aims to determine the specifications and test the performance of a 500 W inverter integrated with a 50 Wp solar system. Also analyze power quality parameters and efficiency when connected to various load. The test method is no-load and load testing with the parameters measured including current, voltage, power, frequency and THD. Analysis was also carried out on the correlation between efficiency and loading and inverter pins with THDV and THDI. In the no-load test, the inverter output voltage waveform was obtained as a pure sine wave with a frequency of 50.10 Hz. In testing the LED and LHE loads, it was found that the inverter was good for use when the load was 50-80% of its capacity. The lowest THDV value is at a Pin value of 26 W, namely a THDV value of 0.009%. The highest THDV on the Pin is 130 W with THDV value of 1.9%. The lowest THDI value is at Pin 9.75 W, namely 27.6%. The highest THDI value on the 130 W Pin is 80.9%. The THD limit is still within the IEEE standard limit, namely 5% - 10%.

Rancang Bangun Smart Trash Bin Automation pada Smartlab Politeknik Negeri Jakarta

Smartlab is a new laboratory in Department of Electrical Engineering, Jakarta State Polytechnic. The lab is designed to support the latest research in the telecommunications field, including the implementation of automation for the systems and items in the lab. The development of a Smart Trash Bin Automation is one of the ongoing projects. Using information and digital technology, it aids in the management and handling of waste collection. This research has created the Smart Trash Bin Automation system, which is connected to the internet using Arduino Uno Rev3 and ESP-32. This module is responsible for processing and sending data from the trash bins to a smartphone. The smartphone use Blynk application, which receives data when the systems sends notification to the users when the trash bin reaches its maximum capacity. Smart Trash Bin Automation is also equipped with an ultrasonic sensor that detects objects inside the trash bin. If an object is detected, the trash bin will open automatically, eliminating the need for users to touch the trash bin directly. The system has been tested successfully, with all devices functioting as intended.
 Keywords—Arduino, ESP-32, Smartlab, Smart Trash Bin Automation, Ultrasonic sensor.

Data-Rich Causal Inference

Brief Biography: Abhin Shah is a final-year Ph.D. student in the department of Electrical Engineering and Computer Science atMIT, where he is a recipient ofMIT's Jacobs Presidential Fellowship. He has interned with Google Research (2021) and IBM Research (2020).

Timely Inference over Networks

Brief Biography: Md Kamran Chowdhury Shisher is a final-year Ph.D. candidate in the Department of Electrical and Computer Engineering at Auburn University, Auburn, AL, USA. He expects to graduate by May 2024. His Ph.D. works are advised by Yin Sun. Shisher's research interests include Information Freshness, Wireless Networks, Semantic Communications, and Machine Learning. His Ph.D. works focus on designing low-complexity optimal scheduling algorithms for remote inference systems. He also developed an information-theoretic tool to analyze the impact of freshness on the performance of real-time applications. He received his M.Sc. degree in Electrical Engineering at Auburn University in 2022. He completed his B.Sc. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology in 2017.

Theory of Timely Remote Estimation and Application toSituational Awareness

Brief Biography: Tasmeen Zaman Ornee is a PhD candidate at the Electrical and Computer Engineering Department of Auburn University. She joined the Real-time Networking lab in Fall 2018. Her PhD supervisor is Prof. Yin Sun. She completed her M.Sc. in Electrical Engineering from Auburn University in 2022. She received her B.Sc. degree in Electrical & Electronic Engineering from Bangladesh University of Engineering and Technology in 2017. Her research interests include information freshness, remote estimation, robotic control, and wireless communication networks. She has worked on designing novel sampling and scheduling policies for the remote estimation of diffusion processes involving single and multiple sources. In addition, she has worked on designing low-complexity scheduling algorithms for improving situational awareness in safety-critical systems. She received the IEEE/IFIP WiOpt Best Paper Award in 2019, one of her IEEE/ACM ToN journals was recommended for fast-tracked review, and she had an invited paper at IEEE SPAWC 2021. She is also one of the authors of a book chapter published by CUP. She is a graduate student member of IEEE and ACM.

Notice of Violation of IEEE Publication Principles: Performance Improvement of a Line-Start Permanent-Magnet Synchronous Motor

Notice of Violation of IEEE Publication Principles Performance Improvement of a Line-Start Permanent-Magnet Synchronous Motor by Solmaz Kahourzade, Amin Mahmoudi and Wooi Ping Hew, in the IEEE Transactions on Industrial Electronics After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper was submitted with significant similarity to ideas and applications presented in the thesis listed below. The paper includes a reference to the thesis, but there was no clear delineation between their work and previous work presented in the thesis. Two of the authors, Solmaz Kahourzade and Amin Mahmoudi were found to be responsible for the misconduct. Line Start Permanent Magnet Motors, by Arash Hassanpour Isfahani, in Ph.D dissertation, Department of Electrical Engineering, Tehran University, Iran, 2011. This paper presents the design and performance analysis of a line-start permanent-magnet synchronous motor to overcome the efficiency and power factor deficiencies of induction motors. Proper start-up and synchronization are considered. An optimization algorithm is applied to improve the rotor bar resistance for the smooth line start of the motor. Dynamic d-q modeling and finite element analysis are performed to predict the transient and steady-state performances of the motor. Based on the presented optimized design, a 3-phase, 4-pole, 2 kW line-start permanent-magnet synchronous motor is fabricated and tested. Simulation and experimental results validate the improved performance of the proposed optimized motor.

Learning Media Development Photovoltaic (PV) Integration Data Communication Scalable Model with Internet of things (IoT)-Assisted Monitoring

The aim of this research is to create educational materials for Data Communication by combining photovoltaic (PV) technology with a scalable model and monitoring through the Internet of Things (IoT). The research assessed the feasibility of implementing photovoltaic integration and a scalable model to determine the energy usage level. Additionally, it developed a learning aid product (media trainer) that is valid, practical, and effective for learning, using IoT-assisted monitoring for data communication.
 The focus of this study is on students who are using Network and Data Communication studying in the Department of Electrical and Computer Engineering at Gorontalo State University. The research will utilize media trainers as educational tools for learning purposes. The research methodology employed in this study involves the stages and steps outlined in the ADDIE development model. The validation of the product's quality feasibility has been conducted by a team of expert validators through the use of focus group discussions (FGDs). Using a methodology that involves analyzing data using descriptive statistics. The results indicated that the trainer media was deemed highly valid by a team of expert assessors, with an average total score of 3.82. Additionally, the formative assessment of the trainer media users yielded a score of 3.64, which was interpreted as highly practical. The results effectively demonstrated the difference in learning outcomes before and after using the product.

Analyzing and designing energy storage system and charging station from solar energy-lithium ion

This paper presents the design of a battery charging center that will be used optimally by students in the Department of Electrical Engineering, Ambon State Polytechnic (POLNAM, Politeknik Negeri Ambon). This study would like to design a charger station with a load requirement of 145.98 Wh that can be used as a blueprint for future relevant programs. The design of the charger station is based on the results of research that has been conducted in the study. The results of this study have shown that the number of solar panels 100 WP as much as 1 piece, BMS capacity (ICh = 11.6 A and IDch = 31.7 A), SCC capacity 6.125 A 10 A, Inverter 261 Watt 0.5 KW, and battery pack 21.75 Ah.

Hybrid System for Preserving Agri-Food Products

This article presents an experimental refrigeration plant equipped with a hybrid cooling system, which was developed at the Technical University of Moldova as a result of the cooperation of researchers from the Electrical Engineering, Mechanical Engineering and Production Engineering Departments to study the cooling process of various agricultural products. All stages of conception, design, development of the refrigeration plant were carried out in laboratory conditions, and field tests were carried out both in laboratory and real conditions, within the framework of specialized enterprises in this field, to evaluate the effectiveness in relation to the practical application of the developed plant. The results of multiple series of experiments have shown that the use of the proposed plant significantly reduces electric energy consumption and environmental impact.

Penerapan Model Pembelajaran Problem Besed Learning Mata Kuliah Elektronika Digital pada Mahasiswa Teknik Elektro Universitas Negeri Padang

The low learning outcomes of electrical engineering students, especially in the cognitive domain, are caused by a lack of student activity in class and being embarrassed to ask questions if the material presented is not understood by students. Based on the results of observations carried out in the Department of Electrical Engineering, it was found that the learning model was more teacher-centred (TCL) so that there were no varied learning models implemented in the learning process. Therefore, it is necessary to provide a variety of learning models so that they can generate good enthusiasm, cognitive, affective and psychomotor skills in a learning process, so that a Besed Learning learning model can be used as an innovative learning model and train students' ability to solve problems well. in order to improve good learning outcomes and psychomotor skills for 2TEIB electrical engineering class students at universitas negeri padang. The aim of this research is to determine the application of the Problem Based Learning learning model in digital electronics courses to electrical engineering students at Padang State University. This research uses a quantitative type of research, this research uses a 1 class design using pre-test and post-test to determine the results of the implementation of the problem-based learning model, as well as the population in the research, namely Random Sampling, where the population in the sample that will be studied is class 2TEIB majoring in electrical engineering, For sampling, the probability sampling technique was used.The results of the analysis can be seen from the application of the problem-based learning model which was carried out well, as well as getting the average value of the pretest and posttest results for the 2TEIB class. The results were good, namely the posttest results were higher than the pretest results because after implementing the problem-based learning model good and perfect, the use of the problem-based learning model provides a significant difference as evidenced by the results of hypothesis testing using SPSS version 24, data obtained namely sig (0.001) < 0.05, so that Ha is accepted and Ho is rejected.

The Influence of Industrial Work Practice Experience-Career Information on Student Competence with Work Motivation as an Intervening Variable in Bachelor of Electrical Engineering Education Graduates

Objective: This research aims to analyze (1) the direct influence of industrial work practice experience on work motivation, (2) the direct influence of industrial work practice experience on competency, (3) the indirect influence of industrial work practice experience on work readiness through work motivation; (4) the direct influence of career information on work motivation; (5) the direct influence of career information on competency; (6) indirect influence of career information on competence through work motivation; and (7) the direct influence of work motivation on the competency of undergraduate Electrical Engineering Education students at the Faculty of Engineering. Method: The quantitative approach used in this research is the path analysis model. The population in this study were all undergraduate students of Electrical Engineering Education at the Faculty of Engineering, with a total population of 194 graduate students. Results: This research concluded that (1) industrial work practice experience has a direct effect on work motivation by 16%; (2) industrial work practice experience has a direct effect on competency by 16.81%; (3) industrial work practice experience has an indirect effect on competence through work motivation of 1.25%; (4) career information has a direct effect on work motivation by 7.29%; and (5) career information has a direct effect on competency by 4.41%. Novelty: Internship experience has a direct influence on work motivation and competence. This means that the Department of Electrical Engineering is expected to properly monitor and evaluate the implementation of students' industrial work practices in industry. Monitoring can be done through monitoring instruments, which must be filled in by internal supervisors and external supervisors, with the hope of increasing the effectiveness of implementing industrial work practices. Apart from that, the industry is expected to be able to optimize the role of students during industrial work practices so that they gain knowledge and experience that influences work motivation and competence.

Department Of Electrical And Electronics Engineering

The department has good infrastructural facilities and is equipped with full fledged laboratories such as Basic Electrical lab Electrical Machines Lab- I and II Power Electronics lab Electrical Measurements lab Advanced Electrical Engineering lab and Electrical Workshop The department also has audio visual facilities with LCD and OHP for effective teaching

A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation

Review A Review of Multi-vehicle Cooperative Control System in Intelligent Transportation Songtao Xie 1, Zhenhong Li 1, Farshad Arvin 2, and Zhengtao Ding 1,* 1 Department of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK 2 Swarm & Computational Intelligence Laboratory (SwaCIL), Department of Computer Science, Durham University, Durham DH1 3LE, UK * Correspondence: zhengtao.ding@manchester.ac.uk Received: 25 April 2023 Accepted: 19 September 2023 Published: 25 September 2023 Abstract: Multi-vehicle cooperative control (MVCC) system has the potential to improve traffic flow, reduce congestion, and increase safety. This paper reviews the progress achieved by researchers worldwide regarding different aspects of MVCC systems. Research works of MVCC system architectures and strategies are reviewed, which explain how this system works. Several control methodologies utilized in the MVCC system and their related issues are discussed and compared, and research achievements about string stability and system degradation caused by unreliable communication are also reviewed. Applications of the MVCC system are demonstrated with detailed literature, which draws an overall landscape of the MVCC system and points out current opportunities and challenges. Finally, future research directions for the MVCC system are proposed based on the latest social and technological developments.