Bachelor of Electrical and Electronic Engineering (EEE)

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    Robust Power System Stabilizer For Multi-Machine Power Networks Using Tunicate Swarm Algorithm And Equilibrium Optimizer
    (Department of Electrical and Electronic Engineering, 2022-04) TAYEB, JAHID HASAN; GANI, SAYED MD. ABRAR
    Low-frequency oscillations (LFO) in power systems can cause a lot of interruptions, which can cause the system to become unstable. Low-frequency oscillation has frequently been reduced and long-term stability improved through the use of stabilizers in power systems. This thesis represents two new methods of modeling robust power system stabilizers (PSS) for multi machine networks using the Equilibrium optimizer (EO) and tunicate swarm algorithm (TSA). To improve system damping, a damping ratio-based goal function is considered, and a commonly utilized traditional lead-lag type PSS structure is employed. LFO recurring interruptions are the fundamental cause of system instability and dependability. Data from the past shows that the employment of stabilizers in power systems has resulted in a reduction in low-frequency oscillations, and that long-term stability has steadily improved with the passage of time. In power system stabilizer we optimize the parameter of lead-lag type PSS for a robust power system using TSA and EO. Specifically, we investigate the performance of two separate systems, one with four machines on a 11-bus system and the other with ten machines on a 39- bus system. By optimizing the parameter of the TSA-based PSS and the EO-based PSS demonstrate the robustness and effectiveness of the two power network systems. The comparison of the simulation findings with other established optimization technique like particle swarm optimization (PSO) shows that TSA and EO are more efficient and robust. According to the simulation findings, the TSA and EO technique decreases the settling time and maximum overshoot more significantly than the other choices
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    Design And Implementation Of Iot- Based Green Agricultural Environment Monitoring System
    (Department of Electrical and Electronic Engineering, 2022-04) JALAL, MOHAMMAD; ISLAM, MOHAMMAD JAMSEDUL
    In the field of agriculture farmers are mostly depend on weather condition for their cultivating crops. The IoT-based Environmental Weather Monitoring System project is used to get live reporting of weather conditions. The Internet of Things, has the largest influence in agriculture. Green networks in the Internet of Things helps to reduce emissions and pollutions, while also maximizing environmental conservation and surveillance and lowering operating costs and power usage. In this project, we present a low cost system for real-time monitoring of the environment. The system consists of several sensors is used for measuring environmental parameters. The parameters such as temperature, humidity, soil moisture, air quality, pH of the soil and rain level has been measured. The measured values from the sensors has been processed by the core controller. The Arduino Nano has been used as a core controller. To reduce the wastage of electrical cost we use solar system. This project will save our time by providing environmental parameters data in a single website with two weeks prediction value of weather using machine learning algorithm. Good result has been obtained by cultivating the crop at the specified time. Finally, the sensor data is viewed on website and LCD also displays the output correspondingly. Over all it’s exceptional advantage people easily influenced to use the system, and it will be asset in field of agriculture for every country.
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    Economic Dispatch Problem Including Renewable Energy Using Generalized Normal Distribution Optimization And Bald Eagle Search Optimization Algorithm
    (Department of Electrical and Electronic Engineering, 2022-04) HOQUE, SADMANUL; ADNAN, SAYMUN
    Economic Dispatch (ED) problem is an essential optimization problem in electrical power system.It is to schedule the committed generating units outputs so as to meet the required load demand at minimum operating cost while satisfying all units and system equality and inequality constraints. Furthermore, renewable energy resources such as wind and solar have been a promising option due to environmental concerns as fossil fuel reserves are depleted, fuel prices rise quickly, and emissions rise. However, the uncertain nature of wind and solar irradiation due to weather and climate change and the integration of renewable power generation systems complicates the ED formulation. The Bald Eagle Search (BES) Optimization algorithm and Generalized Normal Distribution Optimization (GNDO) are proposed to solve the ED problem. To show the effectiveness of the proposed algorithm, four case studies are used to illustrate the proposed algorithm's ability. Finally, the results of the proposed algorithm are compared to other optimization techniques such as WOA, FPA, MODE, GA, PSO, and GSA. The results indicate that BES and GNDO can achieve lower total costs than the other optimization techniques.
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    Smart Hybrid Power Consumption System for Green Future Energy: Cost and Social Benefits Analysis
    (Department of Electrical and Electronic Engineering, 2022-07) Nupur, Kamrun Nahar; Salim, Sumaita Binte
    The purpose of this thesis is to lead smart power grid system towards focusing on green future energy. The research world is always looking for mobility and different innovative work types for making human life more upgraded and easier. Due to coping with the ongoing modern world, the energy demand also increases dramatically over the years. Consequently, to meet that energy demand and bring sustainability over the grid system research world is diverting towards renewable energy more and sustainable energy. Various countries of the world have come forward in the age of smart grid and acknowledge its verity. Several are working on smart grid pilot project or taking persuasive of this concept for experimenting and research with the purpose of testing probabilities before on full scale advancement and change. To lessen carbon emission and energy security, government of various countries all over the world are already seeing possibilities like smart grid. Reviewing the scenario of smart grid system for all over the world, Asian region and for Bangladesh, the purpose of this thesis is to design a hybrid power system with PV and conventional power plant for leading the smart grid system towards focusing on green future energy. The further explanation is about the designed model by MATLAB Simulink approaching to smart grid development. In addition, the comprehensive analysis of power consumption for about 30 years, CO2 emission calculation only for conventional power system, PV system implementation cost, CO2 emission comparison with and without the proposed system, CO2 reduction rate analysis and social benefit, consumer benefit for about 30 years after combining the PV system with conventional power system. Finally, the paper concludes with the suggestions of environment impact analysis as well as green future energy.
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    Techno-Economic Assessment Of Pso Optimized Microgrid With Hydrogen Storage System
    (Department of Electrical and Electronic Engineering, 2022-07) IKRAM, ARAFAT IBNE; ROCKY, MD. KAMRUZZAMAN
    Microgrids are designed to utilize the renewable energy sources and it is a revolutionary choice in terms of reducing the environmental effect of excessive GHG emissions while producing electricity. The intermittency of renewable generation poses challenges to the technical and economic feasibility of microgrid operation, which conveys the integration of hybrid energy storage systems. In recent decades, Several researched has already been concluded in search of reliable and economically feasible hybrid energy storage. Hydro gen storage have been considered to be a key vector for enhancing the effectiveness of renewable and sustainable energy storage. The hydrogen ecosystem would be deemed a fully green energy storage system if we could manufacture hydrogen from renewable en ergy sources, store it, and utilize it in times of energy shortage. Here we have presented a model for evaluating the technical, economical feasibility and the environmental impact on a Grid-connected Microgrid integration scenarios consisting hybrid energy storage system. Microgrid model was comprised Photovoltaic Panel, Wind turbine, Lead-Acid battery, Electrolyzer, Fuel cell, and H2 cylinder tank. Microgrid component’s analogous model was presented by the mathematical function by which we estimated annual hourly renewable generation based on given resources. In order to consider the load uncertainty, load consumption model for 50 homes was generated using Gaussian process. The mi crogird components sizing was done by Particle Swarm optimization technique (PSO) to minimize the installation upfront cost as well as levelized cost of energy ($/kWh). We used an energy dispatched strategy for smartly distribute energy among energy storage’s and load consumption model and reduce the loss of power supply probability (LPSP). We tested different microgrid’s energy penetration levels of 25%, 50%, 75% and 100% in terms of peak power distribution capabilities to load demand respective to conventional grid, where, Microgrid’s 100% integration capabilities try to maintain the full load de mand and not bought energy from conventional grid. And we found different LCOE and annual GHG emission for each integration scenario and easily distinguish which system performed better compared with other system
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    analysis of the impacts of load shifting dependent dsm strategy in a neighboring locality in bangladesh
    (Department of Electrical and Electronic Engineering, 2022-06) REZA, MD. SHAMIUN; ISLAM, MD. RYHANUL
    In recent years, end users management of power usage has been given more importance to ensure efficient and effective use of electricity. One such tool, that can improve the end user power use scenario is Demand Side Management (DSM). The main theme of DSM is to reduce power wastage, improve efficiency and to reduce the price of electricity to the consumer. In this work,We have investigated the effects of residential customers’ load shifting compared to their historical patterns of energy consumption. We have followed the data collection methodology of a similar study to take realistic load profile of the consumers. We have collected 10 individual house data from different locations to keep variety in the load profiles of the consumers and to find out an overall scenario. Initially, we have used an excel spreadsheet to take consumer data then we made simulink model for each user. The simulink model has been used to simulate the load shifting and its impacts. From the study we found that 6.7% of the total load can be shifted from peak electric hour to off peak hour. This study can make an important role in applying load shifting among mass consumer and to examine its impacts.
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    Design And Implementation Of A Multiple Input And Multiple Output (Mimo) Boost Converter
    (Department of Electrical and Electronic Engineering, 2022-04) HASAN, MD. JAHID; CHY, MD. ABUL HASNAIN
    The voltage from the input supply to the output load is increased by the boost converter. A DC to DC and DC to AC power converter is what it is. To enhance efficiency and reduce losses, the switch mode power supply (SMPS) must be quickly turned on and off. For SMPS, including boost converters, the introduction of commercial solid-state switches in the 1950s marked a crucial turning point. The boost converter may continue to output the required current at that low input voltage due to its capacity to endure a small switching current. A boost converter's output voltage is always higher than its input voltage. In a boost power stage realistic, an inductor is depicted closed with current flowing through it in a clockwise direction to store some energy. Both power MOSFETs and bipolar power transistors are used in power switching; the decision to use one over the other is decided based on variables like current, voltage, switching speed, and cost. The boost converter circuit can produce a lot of voltage, thus we want to utilize a capacitor with a high voltage rating. The capacitance of the capacitor should be high as well. Since the inductor is discharging a sizable quantity of current, we need the capacitor's capacity to maintain this charge. The main DC/DC converters were created in the early 1960s, when solid-state switches were readily accessible. As a result of the aircraft industry's requirement for small, light-weight power converters, technology has moved swiftly in this area. Our complete system is controlled by a microcontroller chip and LC circuits. With this project, the designer will have a technique to raise the DC voltage from 05V and 12V DC to 06V-36V DC. This project involves the design, control, and modeling of a unique Multi Input-Multi-Output Boost Converter architecture. The main advantages of the system are voltage stepping up with the least number of components possible, low operational duty cycle, and great efficiency across a wide range of input and output voltages. This discovery has a wide range of alternate applications, including power supply for LEDs and battery packs for electric vehicles.
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    Effect Of Dye-Loading Time On The Performance Of Zno Based Dye Sensitized Solar Cell
    (Department of Electrical and Electronic Engineering, 2022-07) TUSHAR, RIDOWANUR RASHID; MITHU, GOLAM MORTUZA
    Dye-sensitized solar cells (DSSCs) are one of the new photovoltaic technologies with strong commercial prospects because of their semitransparency, low production cost, simple fabrication techniques, and high performance under low-light situations. In this investigation, the effect of varying dye-loading time on photovoltaic performance for dye sensitized solar cells has been observed using I-V Data Analysis. In the lab, the cell was fabricated using the electrophoretic deposition technique which ensures a uniform layer of metal oxide. The photoanode is immersed in the dye for 30 minutes, 1 hour, 2 hours, and 3 hours during the cell fabrication process. All the experimental procedures are done at room temperature. I-V data under dark and illumination conditions are measured with a solar simulator in the air with the area restricted by a steel mask. The values of the se ries resistance, shunt resistance, ideality factors, and barrier heights are calculated from the measured dark current-voltage (I-V) data using the conventional and Cheung function methods. Using the lambert W function, calculated series resistance and shunt resistance from I-V data(Illumination Condition). Under dark and illuminated conditions, 1 hr dye loading time cell has low series resistance and high shunt resistance compared to other cells. At optimum 1 hour dye-loading time cell give better performance with the con version efficiency of 2.7%, short circuit current density of 8.9 (mA/cm2 ), open circuit voltage(Voc) of 0.53 (V), Fill factor(FF) of 0.56 respectively.
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    Enhanced Optimum Design And Performance Evaluation For Grid-Connected Solar Pv Rooptop Systems: A Case Study For Bangladesh
    (Department of Electrical and Electronic Engineering, 2022-07) IQBAL, MD. JAHED; HAMID, MD KAWSHER
    As the number of electric vehicles on the road continues to rise, the issue of charging becomes more pressing. It is essential to construct charging stations (CS), which are analogous to petrol stations, in order to meet the demand for recharging and make things more comfortable for drivers. Research on a novel charging station design that makes use of renewable energy sources was conducted for the purpose of this article. In order to deal with the unpredictability, a hierarchical energy management system that is geared toward real-time application has been developed. MATLAB simulation was used in order to establish the appropriate size of the CS by taking into account many objectives, such as economics, the environment, and the degradation of the battery energy storage system. Electric vehicles get their power from their batteries, and these batteries may be charged using either traditional or alternative forms of energy. In this work, the DC Converter for battery charging system for electrical cars that utilize solar is discussed. It is proposed that the Greatest Power Point Tracking (MPPT) algorithm be used to boost the efficiency of the PV system. This would allow for the maximum exploitation of the sun's available energy. Electronics of Power Supply Controlling the process of charging a battery for an electric vehicle may be accomplished with the help of a voltage regulator. The MATLAB/Simulink Simpower Systems are utilized in order to do an analysis on a simulation of the aforementioned system. Enhanced Optimum Design And Performance Evaluation For Grid-Connected Solar Pv Rooptop Systems: A Case Study For Bangladesh Natural gas, diesel, coal, and furnace oil are among the fossil fuels used in Bangladesh's electricity sector. Natural gas generated around 71.82 percent of the electricity used in Bangladesh during the 2019–20 fiscal year, with furnace oil coming in second with 13.25 percent, diesel third with 0.20 percent, coal fourth with 4.16 percent, and renewable energy sources fifth with 1.23 percent. In general, produced power cannot keep up with the nation's demand throughout the summer, which hinders the growth of socioeconomic infrastructure and industrial output. The earth's mean temperature is rising because of increasing greenhouse gas emissions brought on by the depletion of fossil fuel energy sources. The countrywide load-shedding of electricity has been rising because of a huge gas shortage that has led to a significant fall in power generation. In order to overcome these issues, renewable energy sources could be more beneficial to Bangladesh's electricity generation. Besides that, In Bangladesh, around 43 public and 103 private institutions demand a significant quantity of electricity for annual continuing education activities. The demand for electricity at these institutions grows year after year, placing a strain on the utility grid. This challenge, however, can be solved by utilizing the university's rooftop areas. This research goal to close a knowledge gap by enhancing the energy output of rooftop PV systems through roof design. Additionally, this study aims to reduce grid outages around the building, as well as the cost of energy (COE), dependence on the grid, and CO2 emissions. In This study, we designed and simulated the grid-tied rooftop solar Photovoltaic system by using SketchUp and PVsyst for educational-type consumer loads at the FSE building of IIUC, Kumira, Chittagong. And we also optimized the Energy consumption Bill of the FSE building by selling out the access electricity to the grid. Installing solar panels lessens our dependence on fossil fuels as a society and contributes to the fight against greenhouse gas emissions. Our planned project can serve as a tremendous source of inspiration for other organizations looking to install rooftop solar energy systems.
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    Design And Analysis Of A Hybrid Power Charging Station For Electric Vehicles At Patenga, Chittagong
    (Department of Electrical and Electronic Engineering, 2022-08) FAISAL, MD MOKAROM HOSSAIN; AYAN, NURUL AZAM; HOSSAIN, MD. ISMAIL
    As the number of electric vehicles on the road continues to rise, the issue of charging becomes more pressing. It is essential to construct charging stations (CS), which are analogous to petrol stations, in order to meet the demand for recharging and make things more comfortable for drivers. Research on a novel charging station design that makes use of renewable energy sources was conducted for the purpose of this article. In order to deal with the unpredictability, a hierarchical energy management system that is geared toward real-time application has been developed. MATLAB simulation was used in order to establish the appropriate size of the CS by taking into account many objectives, such as economics, the environment, and the degradation of the battery energy storage system. Electric vehicles get their power from their batteries, and these batteries may be charged using either traditional or alternative forms of energy. In this work, the DC Converter for battery charging system for electrical cars that utilize solar is discussed. It is proposed that the Greatest Power Point Tracking (MPPT) algorithm be used to boost the efficiency of the PV system. This would allow for the maximum exploitation of the sun's available energy. Electronics of Power Supply Controlling the process of charging a battery for an electric vehicle may be accomplished with the help of a voltage regulator. The MATLAB/Simulink Simpower Systems are utilized in order to do an analysis on a simulation of the aforementioned system.
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    Design And Implementation of A Rfid and Bar Code Based Smart Meter Security System And Gsm Based Power Unit Observation
    (Department of Electrical and Electronic Engineering, 2022-06) Hossain, Md. Khaled; Hossain, Md Araf
    A typical meter reading system causes lots of problems. If some outsider connects a hidden line with a house property it’s been very difficult for him to detect the outsider’s electrical connection. This project has given a solution to that problem by creating extra security over the meter reading system. By using this system a user can only read his/her meter balance by punching a rfid tag. If he doesn’t have the rfid card then he /she can not check the meter balance. So only the authorized user can see how much load is connected to the meter and find the unauthorized connection. This system will also work as a complete blockchain system. So the user will have an android app, where he/she can find the meter reading current status after authentication. A registered user can also recharge the meter by scanning its Barcode tag. So he/she don’t have to give manual token number. This system has been developed in such an easy way that any user can check , recharge and observe his billing status from the application
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    Small Scale Pv Integration In Bangladesh: Opportunities, Challenges, And Recommendation
    (Department of Electrical and Electronic Engineering, 2022-07) ALAM, SHARIFUL; PRANTA, MUSHFIQUR RAHMAN
    Small scale on site renewable energy generation is getting a common feature of modern energy system in developed countries both in business and residential sectors. Solar home system (SHS) is the most widely used form of such renewable energy source around the world. Residential users, small business, office, industries all are implementing on site PV generation to fulfill the clean energy policies, to increase the resilience of the system as well as better economic options. Since early 2000s Bangladesh govt has started to introduce nano and micro scale to the population who are at the remote corners of the country and where electric grid line wasn’t reached. In recent years, Bangladesh has made tremendous improvement in the electricity sector and the demand and generation now match each other. In this situation, those nano scale PV systems doesn’t make any economic sense. Moreover hand the existing PV market, policies are not good enough to attract mass population to install small scale PV system known as SHS in private initiative.We have tried to replicate the current SHS policies and pricing along with the obstacles. Our expectation was to see the economic viability of the current system. For this purpose, we have constructed yearly load profile of 3 consumers. Then we used these load profiles to evaluate the economic viability of the current system. After this we have applied different renewable friendly policies, incentives, net metering to find out the economic viability of the modified system. And for testing the economic viability we have chosen REopt tool. Then we have used three hypothetical scenarios to see the effectiveness of these policies and strategies to make SHS attractive to the mass people. We have used residential and small business load profile to simulate in REopt. The outcomes of this work suggests that net metering along with financial policies will make SHS attractive towards mass people.
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    Design & Implementation Of Electrical Vehicle Wireless Charger
    (Department of Electrical and Electronic Engineering, 2022) RHAMAN, MD. ASHIKUR; ALI, MD. TANVIR; ALIM, MD. ABDUL
    Wireless charging is becoming increasingly popular owing to the rising usage of EVs and consumer devices. This article discusses the design and execution of a contactless battery charger for electric cars. Systems based on double-D (DD) coils, which try to minimize core loss by designing and optimizing the core, are the subject of this study. You'll notice core loss if you utilize a wireless charging pad with medium to high power. Conventional approaches imply that the magnetic field in the core is equally distributed. With its non-uniformity, the core's magnetic field creates a large surge in core loss. This study focuses on the design and implementation of a multi-purpose wireless charger. Based on a Colpitts oscillator, the transmitter's core construction is fairly simple. The receiver coil's coupling efficiency has been boosted owing to advancements in the coil's construction. A workable system has been constructed and is ready to be pushed out into the world.
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    Fuzzy Logic - Based Maximum Power Point Tracking Of Photovoltaic System
    (Department of Electrical and Electronic Engineering, 2022-04) HOSSAIN, MD SHAKHAWAT; KABIR, MAHMUDUL
    In this modern era, the use of Solar energy is increasing day by day. Keeping in mind the needs of the future demand of Solar energy, it is very essential for us to get maximum power tracking point in order to utilize Solar energy properly. So, in this thesis work, we proposed a Fuzzy Logic Controller system to track maximum power point. This system is used to get the Maximum Point of a PV array. It is the most suitable way for the human decision making mechanism, providing the operation and showing every step on the basis of Boolean logic system. This technique contact about on the artificial intelligence with the help of membership function which is inspired on the basis of human perception. We knew that there are some techniques to find the maximum power point, but our proposed system has better effectiveness among these techniques. In this work, we compared with classical PI, PD, PID, FPID controllers and also compared performance analysis with P&O and INC method of maximum power point technique. In our study, a Boost converter is used with fuzzy sets method. In our proposed system, we also showed how to design a fuzzy system combining with boost converter and find maximum power of a PV array on fixed temperature and fixed irradiance. At finally we get a result, that the fuzzy controller has an excellent performance to track solar MPPT over P&O, INC method and others controllers.
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    Power System Stability Improvement By Designing The Optimal Pss Using Multi-Verse Optimization Technique
    (Department of Electrical and Electronic Engineering, 2022-04) HASAN, ABDUL MAJID; UDDIN, MD. BURHAN
    The power system is a highly nonlinear structure with complicated characteristics. Because power networks are electrically intertwined, and they are susceptible due to disruptions in any one part of the system. In fact, low frequency oscillations (LFOs) caused by minor perturbations in any portion of the network might bring the entire system down. With the appropriate parameter settings, the power system stabilizer (PSS) may effectively reduce these oscillations. After linearizing the system, power system stabilizer (PSS) extensively utilized to mitigate these problems. This research presents an efficient approach for the optimal tuning of power system stabilizer parameters (PSS) using a Multi-Verse Optimization (MVO) algorithm with the eigenvalue-based objective function. This research work proposes a completely unique nature algorithm to tune the PI, PID, and Lead-lag based controller using Multi-Verse Optimizer (MVO) for single machine infinite bus (SMIB) to control the LFOs by improving power system damping. The proposed approach is implemented and examined in a system with a single machine connected to an infinite bus via a transmission line. The results of this technique have been verified by eigenvalue analysis and time-domain simulations. The obtained results were evaluated and compared with traditional PSS. Eigenvalue analysis and nonlinear system simulations demonstrated the effectiveness of the proposed approach in damping the electromechanical oscillations and enhancing the system dynamic stability.
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    A Polarization Insensitive Metamaterial Absorber For The Application Of Solar Energy Harvesting In The Optical Regime
    (Department of Electrical and Electronic Engineering, 2022-04) KARIM, MD HASANUL; UDDIN, JOHAN
    Metamaterial absorbers have sparked a lot of interest due to their significant capacity to achieve nearly perfect absorption in nanostructures. Particularly Metamaterial absorbers can greatly increase the efficiency of solar energy by amplifying the solar electromagnetic wave. Since Solar energy is considered one of the cleanest renewable energy sources, the development of high-efficiency broadband solar absorption devices is essential. Metamaterial absorbers typically operate with a wide absorption band within the visible frequency range for solar energy collection. In this paper, we presented a new type of broadband solar energy absorber based on tungsten (W) to achieve broadband solar energy absorption. This tri-layer meta-absorber is designed by Finite Integration Technique (FIT) using CST microwave studio simulation software. The design shows that the nanostructure has a long absorption band from 400nm to 800nm with average absorption rates of 96.62% and near unity absorbance is achieved at around 604.91 nm. The proposed model has an absorption level of 94.58% on average. The designed MA shows nearly similar absorbance and reflectance in three modes such as transverse electromagnetic (TEM), transverse electric (TE), and transverse magnetic (TM). The suggested design's absorption efficiency data are also compared with previously published similar absorber designs to demonstrate the improvement of absorption in the proposed design. These results show significant possibilities to enrich integrated terahertz devices and many other practical applications like sensor and thermophotovoltaic cells.
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    Design And Construction Of A Smart Restaurant Service Using Conveyor Belt
    (Department of Electrical and Electronic Engineering, 2022-04) JOY, PRITOM PARIAL; JUBAID, JUBAIDUL ISLAM; ISLAM, MIFTAHUL
    In this digital world, the main focus is to automate every possible thing to take advantage in providing ease in human life. Automation is being seen in industrial consumer and commercial applications. We see in most of the restaurant’s meal orders is relying on the interaction with waiters to place the order in the kitchen. This cooperation is difficult during peak hours, leading to customer dissatisfaction. Besides this, the system is not even hygienic, especially in a situation like the Covid pandemic. By realizing this, Smart Restaurant System has been proposed in this project. The system covers the whole order process of a restaurant including the interaction between the customer, the waiter, the kitchen, and the cashier through wireless devices. By implementing this system we assure a hygienic food service system. We can reduce the time between the order and delivery process. As the order process will be done by the wireless system so there is no need for a waiter which helps to reduce the manpower of the restaurant system. The restaurant owner will be able to maintain the restaurant smoothly even during the pick hour. We have used Arduino NANO which controls the main function of the management system. An obstacle sensor system has been implemented so that it can sense the arrival of food and can stop by itself at the proper destination. We also used a conveyor belt by which the food arrives from the kitchen to the customer. The conveyor belt is run by a forward and reverse bias dc motor. For this, we used a motor driver module. Bluetooth module is used in wireless connection system. To avoid the use of regular menu system we used LCD and TFT displays for displaying the menu and placing the order. Alongside with all of this, we used other equipment necessary for the system
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    Computer Vision Based Industrial And Forest Fire Detection Using Support Vector Machine (Svm)
    (Department of Electrical and Electronic Engineering, 2022-04) RAHMAN, MD. ABDUR; HASAN, SAYED TANIMUN
    Burning issue is a very serious issue nowadays in our garments and industries sector. The workers are facing the problem and losing valuable life. On the other hand, investors are losing their hope in this sector. In this paper, we have propounded a vision-based system which is capable to detect fire. We have developed a pipeline model consisting of Background Subtraction, Color Segmentation, Special Wavelet Analysis & a Support Vector Machine which will detect real-time fire and smoke.For SVM model we have trained the dataset in two ways. One is the different kind of fire image and other is the image that looks like fire but it’s not fire. If the situation is breaking out of fire then the system will immediately raise an alarm and an automatic SMS and email will be sent to the authority and nearby fire station. In this study, the proposed strategy works on a very large dataset of fire videos that have been collected both in real life situations and from the internet.In this SVM pipeline model shows the maximum accuracy is is 93.33%. The system can fulfill the precision and detect faster real-time fire detection. Its industrial application will aid in the early detection of fires, as well as emergency management, and so greatly contribute to loss prevention.
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    Signal Processing-Based Artificial Intelligence Approach For Power Quality Disturbance Identification
    (Department of Electrical and Electronic Engineering, 2022-04) SAKIB, MD. SADMAN; TANIM, S. M. SAZZADUL HAQUE
    Power quality has become a vital concern recently due to the expansion of the consumption of electrical load and the growth in the use of sensitive devices connected to power systems. Nevertheless, complexity in modern life and the increased usage of semiconductors for non-linear load, make a real threat to power quality level. The modern power supply, based on developing renewable sources such as solar, wind and nuclear energy, has increased power quality disturbances to a significant level. In order to maintain good power quality and to ensure its reliability, power quality disturbances must be detected and identified correctly and precisely. Thus, detection algorithms assist decision makers to solve the disturbance, and protect the power network from a high level of financial loss. In this thesis, a new approach of a detection algorithm and classification technique is proposed for power quality disturbances based on the methodology of an Advanced Signal Processing algorithm and Artificial Neural Networks. Firstly, an investigation process covering the most important and common power quality disturbances is analyzed and discussed. Thereafter, most of the powerful signal processing algorithms in addition to Artificial Intelligence techniques are investigated, their results are discussed. Since power quality disturbances are non- stationary signals, a characterization process is built by simulating 7 power quality disturbances in power systems. As a result, a validation methodology is conducted basedon discrete Wavelet Transform and the extracted features are recorded. Artificial Intelligence techniques can classify complex data and enhancing the evaluation process.Therefore, these extracted features are fed to Artificial Neural Networks to train the database of the generated power quality disturbances. This method achieved a sufficient detection algorithm which overcame the Fourier and other transform limitation and resulted in an accuracy of near 98%. In this thesis, a comparison analysis for both detection algorithms combined with the Artificial Neural Networks classifier is presented, this shows the robustness and the effectiveness of the proposed methodology
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    Cost Optimization And Cost Analysis Of Medium Scale Ev Chargign Station Using Linear Programming
    (Department of Electrical and Electronic Engineering, 2022-07) FARUK, MD. OMAR; AZFAR, MD. ALY
    Energy storage system combined with an optimal energy management system can be a reliable solution for minimizing the grid energy costs for fast charging electric vehicle charging station integrated with on-grid photovoltaic system. In this study, the main goal is to optimize grid energy cost by optimizing energy management system for a medium scale electric vehicle charging station in the context of Bangladesh. The suggested solution (charging station with storage and EMS) is simulated in MATLAB, and its performance is evaluated using the Bangladesh energy regulatory framework and power tariff structure. Two different forecasting methods are used for forecasting PV output and grid electricity unitary price following peak, off-peak and super off-peak hours of national grid. The focus of the investigation is on the system's economic performance. Its cost-effectiveness is determined using an optimization technique that produces the best control strategy and necessary infrastructure design. Linear programming optimization technique is used to solve the problem. The energy cost is analysed by four case studies such only load, load with PV, load-PV with Heuristic EMS and finally load PV with LP EMS. Different cost is found during different case studies. The most important elements for this analysis are charging load and tariff structure. Hence, electric vehicle infrastructure is near future for Bangladesh, charging demand is modelled using an artificial EV load estimator algorithm for 50 kW DC fast chargers. Overall, the results demonstrate that, based on forecasted data and load demand, the system might be a financially feasible cost-cutting alternative during peak-period pricing. On the other hand, demonstrates how input factors have a significant impact on system design and performance. The most essential of them was determined to be the power tariff, PV output and load demand. As a result, a thorough examination of this parameter's impact is carried out.