Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854833
Yadhunandan K K A, Sujatha Arun Kokatnoor
Internet has become a vital part in people’s life with the swift development of Information Technology (IT). Predominantly the customers share their opinions concerning numerous entities like, products, services on numerous platforms. These platforms comprises of valuable information concerning different types of domains ranging from commercial to political and social applications. Analysis of this immeasurable amount of data is both laborious and cumbersome to manipulate manually. In this work, a method called, Linear Regression Tree-based Homogenized Attention Recurrent Neural Network (LRT-HRNN) for online training is proposed. In the first step, a dataset consisting of student’s reactions on E-learning is provided as input. A Linear Regression Decision Tree (LRT) - based feature (i.e., student’s reactions and posts) selection model is applied in the second step. The feature selection model initially selects the commonly dispensed features. In the last step, HRNN sentiment analysis is employed for aggregating characterizations from prior and succeeding posts based on student’s reactions for online training. During the experimentation process, LRT-HRNN method when compared with existing methods such as Attention Emotion-enhanced Convolutional Long Short Term Memory (AEC-LSTM) and Adaptive Particle Swarm Optimization based Long Short Term Memory (APSO-LSTM, performed better in terms of accuracy(increased by 6%), false positive rate (decreased by 22%), true positive rate (increased by 7%) and computational time (reduced by 21%).
{"title":"Linear Regression Tree and Homogenized Attention Recurrent Neural Network for Online Training Classification","authors":"Yadhunandan K K A, Sujatha Arun Kokatnoor","doi":"10.1109/TEECCON54414.2022.9854833","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854833","url":null,"abstract":"Internet has become a vital part in people’s life with the swift development of Information Technology (IT). Predominantly the customers share their opinions concerning numerous entities like, products, services on numerous platforms. These platforms comprises of valuable information concerning different types of domains ranging from commercial to political and social applications. Analysis of this immeasurable amount of data is both laborious and cumbersome to manipulate manually. In this work, a method called, Linear Regression Tree-based Homogenized Attention Recurrent Neural Network (LRT-HRNN) for online training is proposed. In the first step, a dataset consisting of student’s reactions on E-learning is provided as input. A Linear Regression Decision Tree (LRT) - based feature (i.e., student’s reactions and posts) selection model is applied in the second step. The feature selection model initially selects the commonly dispensed features. In the last step, HRNN sentiment analysis is employed for aggregating characterizations from prior and succeeding posts based on student’s reactions for online training. During the experimentation process, LRT-HRNN method when compared with existing methods such as Attention Emotion-enhanced Convolutional Long Short Term Memory (AEC-LSTM) and Adaptive Particle Swarm Optimization based Long Short Term Memory (APSO-LSTM, performed better in terms of accuracy(increased by 6%), false positive rate (decreased by 22%), true positive rate (increased by 7%) and computational time (reduced by 21%).","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854819
Siripireddy Venkateswarlu Reddy, T. Prakash, Jarapala Siva Naik, S. Ramakrishnan, J. J. D. Raj, B. Bhargavi
In today’s global pandemic situation, as countries implement restrictions in an effort to reduce the number of persons infected with COVID-19, many people are attempting to make significant modifications to their everyday routines. The Covid-19 pandemic has resulted in a severe loss of human life, especially among frontline workers, who are mostly those who operate in the sanitization and disinfection profession. The main objective of this paper is to develop a unmanned vehicle for instant disinfection and sanitize an area using a 6 WD Robot with achieving the proper and most important aim of unmanned operation using the vehicle with the help of 2.4 Ghz Radio link which provides the system or vehicle the flexibility of going anywhere covering a large distance without humans directly getting affected. It uses the functions of UV rays for the complete disinfection with the mixture, Using UV Lights and ethanol IP (95% v/v) – 62.00% w/w equivalent to 84.24% v/v* absolute alcohol denatured with isopropyl alcohol 3.1% Disinfect the area by simultaneously spraying and flashing the light used for complete eradication of Virus and sanitization of the places. This unmanned vehicle is developed for a 6WD vehicle based on the terrain and atmosphere. Need to design the appropriate body/frame, spray mechanism, payload tank, and atomizer for the 6WD vehicle. In terms of hygiene, it will have a significant influence since spots that are too tiny for humans to get will be accessible with the help of this machine.
{"title":"Designing of Six Wheel Robotic Vehicle for Instant Disinfection and Sanitization","authors":"Siripireddy Venkateswarlu Reddy, T. Prakash, Jarapala Siva Naik, S. Ramakrishnan, J. J. D. Raj, B. Bhargavi","doi":"10.1109/TEECCON54414.2022.9854819","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854819","url":null,"abstract":"In today’s global pandemic situation, as countries implement restrictions in an effort to reduce the number of persons infected with COVID-19, many people are attempting to make significant modifications to their everyday routines. The Covid-19 pandemic has resulted in a severe loss of human life, especially among frontline workers, who are mostly those who operate in the sanitization and disinfection profession. The main objective of this paper is to develop a unmanned vehicle for instant disinfection and sanitize an area using a 6 WD Robot with achieving the proper and most important aim of unmanned operation using the vehicle with the help of 2.4 Ghz Radio link which provides the system or vehicle the flexibility of going anywhere covering a large distance without humans directly getting affected. It uses the functions of UV rays for the complete disinfection with the mixture, Using UV Lights and ethanol IP (95% v/v) – 62.00% w/w equivalent to 84.24% v/v* absolute alcohol denatured with isopropyl alcohol 3.1% Disinfect the area by simultaneously spraying and flashing the light used for complete eradication of Virus and sanitization of the places. This unmanned vehicle is developed for a 6WD vehicle based on the terrain and atmosphere. Need to design the appropriate body/frame, spray mechanism, payload tank, and atomizer for the 6WD vehicle. In terms of hygiene, it will have a significant influence since spots that are too tiny for humans to get will be accessible with the help of this machine.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124709257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854826
Manish Bharat, A. Murty
In this paper Trans-Z source inverter (.T-ZSI), Z Source Inverter (.ZSI) and Voltage source inverter (VSI) topology performance is compared, analyzed and power loss due to switching of IGBT is calculated under time domain. During the switching operation, power loss depends on the numbers of switches, ratings and specifications. Various PWM techniques are used to overcome the losses due to switching sequence. By varying modulation index (M) to a particular level ¿ 1, power loss in T-ZSI and ZSI is minimized. To determine the losses, mathematical formulation in time domain is framed. Based on the power loss during switching operation, motors for Electrical Vehicle (EV) are selected. For lower input voltage 400V, VSI topology is selected which boost the voltage to 600V and gives better performance compared to T-ZSI and ZSI in all the operating points. Whereas T-ZSI and ZSI used its shoot through states to boost the voltage during off condition. An experimental setup with a input of 400V, 600V,800V and 1200V having maximum frequency of 15Khz is selected and the power loss across the IGBT switches is calculated for three different inverter topologies. The Electric Vehicles/Hybrid Electric Vehicles are considered as the main transportation vehicles of future as they use non fossil fuels. These are feature rich, easy to handle, operate and durable with high reliability [3]. The proposed research is intended to explore the possibility of increasing the driving range of the Electric Vehicles (EVs) with a smart power electronic converter having high efficiency and reliability
本文对反Z源逆变器(. t - zsi)、Z源逆变器(. zsi)和电压源逆变器(VSI)的拓扑性能进行了比较和分析，并在时域下计算了IGBT开关的功率损耗。在开关操作过程中，功率损耗与开关数量、额定和规格有关。各种PWM技术被用来克服由于开关顺序造成的损耗。通过改变调制指数(M)到一个特定的水平¿1，功率损耗在T-ZSI和ZSI是最小的。为了确定损耗，建立了时域数学公式。根据开关过程中的功率损耗，选择电动汽车的电机。对于较低的输入电压400V，选择VSI拓扑，将电压提升到600V，在所有工作点上比T-ZSI和ZSI具有更好的性能。而T-ZSI和ZSI则在关闭状态下使用其发射状态来提高电压。选择了输入400V、600V、800V和1200V的实验装置，最大频率为15Khz，并计算了三种不同逆变器拓扑结构下IGBT开关的功率损耗。电动汽车/混合动力汽车被认为是未来的主要交通工具，因为它们使用非化石燃料。特点丰富，操作方便，经久耐用，可靠性高[3]。本课题旨在探索利用高效可靠的智能电力电子变换器提高电动汽车续驶里程的可能性
{"title":"Performance comparison of T-ZSI, ZSI and VSI based on the power loss during switching operation of installed power IGBT switch for EV Applications","authors":"Manish Bharat, A. Murty","doi":"10.1109/TEECCON54414.2022.9854826","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854826","url":null,"abstract":"In this paper Trans-Z source inverter (.T-ZSI), Z Source Inverter (.ZSI) and Voltage source inverter (VSI) topology performance is compared, analyzed and power loss due to switching of IGBT is calculated under time domain. During the switching operation, power loss depends on the numbers of switches, ratings and specifications. Various PWM techniques are used to overcome the losses due to switching sequence. By varying modulation index (M) to a particular level ¿ 1, power loss in T-ZSI and ZSI is minimized. To determine the losses, mathematical formulation in time domain is framed. Based on the power loss during switching operation, motors for Electrical Vehicle (EV) are selected. For lower input voltage 400V, VSI topology is selected which boost the voltage to 600V and gives better performance compared to T-ZSI and ZSI in all the operating points. Whereas T-ZSI and ZSI used its shoot through states to boost the voltage during off condition. An experimental setup with a input of 400V, 600V,800V and 1200V having maximum frequency of 15Khz is selected and the power loss across the IGBT switches is calculated for three different inverter topologies. The Electric Vehicles/Hybrid Electric Vehicles are considered as the main transportation vehicles of future as they use non fossil fuels. These are feature rich, easy to handle, operate and durable with high reliability [3]. The proposed research is intended to explore the possibility of increasing the driving range of the Electric Vehicles (EVs) with a smart power electronic converter having high efficiency and reliability","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854820
Anjali N, Chandrashekar Mariyappa, D. M
Frequency Pulling is one of the critical parameters of Voltage-controlled Crystal oscillators (VCXO), it is always a challenge to achieve very high pulling in quartz crystal oscillators due to its self-limitation of quartz crystal motional parameters and oscillator circuit topology. This paper describes the selection of circuit topology, crystal parameters, critical electronic components, and VCXO packaging to achieve the required pulling in a low-profile package. Pulling of min ±375 ppm has been achieved over a control voltage range of 0V to 5V with the design optimization. In addition, the performance of VCXOs over the complete operating temperature range of -30°C to 60°C will be discussed. Simulation tools were used for parameter optimization to achieve the required specification.
{"title":"VCXO Methodology to Achieve wide Frequency Pulling in Low Profile for Space Applications","authors":"Anjali N, Chandrashekar Mariyappa, D. M","doi":"10.1109/TEECCON54414.2022.9854820","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854820","url":null,"abstract":"Frequency Pulling is one of the critical parameters of Voltage-controlled Crystal oscillators (VCXO), it is always a challenge to achieve very high pulling in quartz crystal oscillators due to its self-limitation of quartz crystal motional parameters and oscillator circuit topology. This paper describes the selection of circuit topology, crystal parameters, critical electronic components, and VCXO packaging to achieve the required pulling in a low-profile package. Pulling of min ±375 ppm has been achieved over a control voltage range of 0V to 5V with the design optimization. In addition, the performance of VCXOs over the complete operating temperature range of -30°C to 60°C will be discussed. Simulation tools were used for parameter optimization to achieve the required specification.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854831
Chinmaya Dash
Compact addition circuits for new Xilinx Versal FPGA devices are presented in this paper. A new column compression technique that achieves complete logic utilization of Versal LUT6 is discussed. This technique enables area reduction for multi-operand adders. The LUT count for multi-operand addition is reduced by up to 50% compared to previous generation FPGAs. Compact binary adders, which are smaller by 25%, are also discussed. The proposed binary adders have lower performance compared to standard method due to not using dedicated carry chain.
{"title":"Novel Adders for Xilinx Versal FPGAs","authors":"Chinmaya Dash","doi":"10.1109/TEECCON54414.2022.9854831","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854831","url":null,"abstract":"Compact addition circuits for new Xilinx Versal FPGA devices are presented in this paper. A new column compression technique that achieves complete logic utilization of Versal LUT6 is discussed. This technique enables area reduction for multi-operand adders. The LUT count for multi-operand addition is reduced by up to 50% compared to previous generation FPGAs. Compact binary adders, which are smaller by 25%, are also discussed. The proposed binary adders have lower performance compared to standard method due to not using dedicated carry chain.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120953300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Films with abandoned objects may be identified and traced using this paper’s technique. Especially in high-traffic locations like railway stations and airports, unattended baggage poses a severe security risk. By using the power of deep learning, people and their belongings may be accurately recognized. Each photograph is accompanied by a training video that comprises more than 18,000 people and their baggage (such as backpacks and purses). The YOLOv3 model is used, which has a real-time accuracy of 98 percent. Determine who owns something and if it has been abandoned. People and their luggage may be studied using an approach that takes into account their location and travel patterns. 65.66% of the time, abandoned properties and their owners are correctly identified 65.10% of the time, ownership is also correctly identified.
{"title":"Human and Object Detection using Machine Learning Algorithm","authors":"Md. Tabil Ahammed, Sudipto Ghosh, Md. Ashikur Rahman Ashik","doi":"10.1109/TEECCON54414.2022.9854818","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854818","url":null,"abstract":"Films with abandoned objects may be identified and traced using this paper’s technique. Especially in high-traffic locations like railway stations and airports, unattended baggage poses a severe security risk. By using the power of deep learning, people and their belongings may be accurately recognized. Each photograph is accompanied by a training video that comprises more than 18,000 people and their baggage (such as backpacks and purses). The YOLOv3 model is used, which has a real-time accuracy of 98 percent. Determine who owns something and if it has been abandoned. People and their luggage may be studied using an approach that takes into account their location and travel patterns. 65.66% of the time, abandoned properties and their owners are correctly identified 65.10% of the time, ownership is also correctly identified.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121585400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854822
B. Patnaik, S. Swain, Ullash Kumar Rout, Ritesh Dash
Due to the intermediate nature of the solar photovoltaic system it depends on various environmental conditions. Researchers are using different algorithms through various software to get maximum efficiency from the solar PV system. For sustainable environmental purposes, solar Photovoltaic has the highest demand among all renewable energy sources as it is reliable and cost-effective in nature. But the only disadvantageous of this source is that the output power of this energy source depends on the environmental condition and panel parameters .Environmental conditions include irradiation, humidity, rain, dust, temperature whereas panel parameters include tilt angle, short circuit current, open-circuit voltage, number of cells in series and parallel. Now a term has been included in the environmental effect on PV systems that is greenhouse gases. This paper has shown the effect of these gases on the PV system. Different greenhouse gases have been taken to know the effect of Greenhouse gas on the performance of solar PV systems.
{"title":"Performance of Solar PV under higher Concentration of Carbon dioxide and Methane","authors":"B. Patnaik, S. Swain, Ullash Kumar Rout, Ritesh Dash","doi":"10.1109/TEECCON54414.2022.9854822","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854822","url":null,"abstract":"Due to the intermediate nature of the solar photovoltaic system it depends on various environmental conditions. Researchers are using different algorithms through various software to get maximum efficiency from the solar PV system. For sustainable environmental purposes, solar Photovoltaic has the highest demand among all renewable energy sources as it is reliable and cost-effective in nature. But the only disadvantageous of this source is that the output power of this energy source depends on the environmental condition and panel parameters .Environmental conditions include irradiation, humidity, rain, dust, temperature whereas panel parameters include tilt angle, short circuit current, open-circuit voltage, number of cells in series and parallel. Now a term has been included in the environmental effect on PV systems that is greenhouse gases. This paper has shown the effect of these gases on the PV system. Different greenhouse gases have been taken to know the effect of Greenhouse gas on the performance of solar PV systems.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127999170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854514
Harshavardhan Yadav Gangadhara, K. Deepa
The use of electric vehicles is increasing exponentially in the real world, to limit the usage of fossil fuels and reduce air pollution. At some point in the near future, internal combustion engine mobility will be overtaken by E-mobility. To gain an advantage over the conventional internal combustion engine, E-mobility has to increase its range. This range extension can be done by battery swapping, or by wireless power transfer. Wireless power transfer is an exponentially growing technology, researchers are working tirelessly and there is rapid development concerning range, size, high frequency, and efficiency. Wireless power transfer is a safer, reliable, cheap, and convenient topology for charging electric vehicles. Dynamic charging of the electric vehicle battery will reduce the need for heavy, large capacity, and costly batteries. In this paper, a dynamic inductive type wireless power transfer for the two-wheeler and last-mile delivery electric vehicles is proposed. Dynamic inductive type wireless power transfer transfers power from AC/DC supply wirelessly and an isolated DC-DC full-bridge converter is implemented at the receiver side to meet the battery requirement. LCL compensating network is used to reduce harmonics and switching losses. Simulations for the proposed system was carried out for the dynamic charging of electric vehicle battery in Matlab and, a comparision of rate of change of SoC with and without isolated DC-DC full-bridge converter is evaluated.
{"title":"Dynamic Wireless Power Transfer Using an Isolated DC-DC Converter","authors":"Harshavardhan Yadav Gangadhara, K. Deepa","doi":"10.1109/TEECCON54414.2022.9854514","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854514","url":null,"abstract":"The use of electric vehicles is increasing exponentially in the real world, to limit the usage of fossil fuels and reduce air pollution. At some point in the near future, internal combustion engine mobility will be overtaken by E-mobility. To gain an advantage over the conventional internal combustion engine, E-mobility has to increase its range. This range extension can be done by battery swapping, or by wireless power transfer. Wireless power transfer is an exponentially growing technology, researchers are working tirelessly and there is rapid development concerning range, size, high frequency, and efficiency. Wireless power transfer is a safer, reliable, cheap, and convenient topology for charging electric vehicles. Dynamic charging of the electric vehicle battery will reduce the need for heavy, large capacity, and costly batteries. In this paper, a dynamic inductive type wireless power transfer for the two-wheeler and last-mile delivery electric vehicles is proposed. Dynamic inductive type wireless power transfer transfers power from AC/DC supply wirelessly and an isolated DC-DC full-bridge converter is implemented at the receiver side to meet the battery requirement. LCL compensating network is used to reduce harmonics and switching losses. Simulations for the proposed system was carried out for the dynamic charging of electric vehicle battery in Matlab and, a comparision of rate of change of SoC with and without isolated DC-DC full-bridge converter is evaluated.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126175436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-26DOI: 10.1109/TEECCON54414.2022.9854825
S. B. Pati, S. K. Barik, Subhasri Kundu, Ritesh Dash, Adithya Ballajhi
Power electronic best components are most sensitive to variation in voltage and current. therefore these components when connected to a DC microgrid needs more attention and protection against a different type of circuit faults like short circuit and open circuit condition. During short circuit condition the flow of heavy current will damage the electronic devices and thereby in order to achieve the protection these electronic devices may trip themselves. sudden tripping of the devices will have an adverse negative impact on the DC microgrid. This paper presents a new ANN-enabled bat algorithm to detect the DC fault and to isolate the fault from the rest part of the system. Matlab simulink based model has been developed to test the prototype and to compare the ANN enabled bat algorithm with other algorithm for comparing the efficiency of the proposed algorithm.
{"title":"DC-Microgrid Fault Detection & Classification Using ANN Enabled BAT Algorithm","authors":"S. B. Pati, S. K. Barik, Subhasri Kundu, Ritesh Dash, Adithya Ballajhi","doi":"10.1109/TEECCON54414.2022.9854825","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854825","url":null,"abstract":"Power electronic best components are most sensitive to variation in voltage and current. therefore these components when connected to a DC microgrid needs more attention and protection against a different type of circuit faults like short circuit and open circuit condition. During short circuit condition the flow of heavy current will damage the electronic devices and thereby in order to achieve the protection these electronic devices may trip themselves. sudden tripping of the devices will have an adverse negative impact on the DC microgrid. This paper presents a new ANN-enabled bat algorithm to detect the DC fault and to isolate the fault from the rest part of the system. Matlab simulink based model has been developed to test the prototype and to compare the ANN enabled bat algorithm with other algorithm for comparing the efficiency of the proposed algorithm.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129423811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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