Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730655
Hemant Modi, D. Saxena, R. K. Chauhan
When 1-phase rooftop solar photovoltaic (PV) is also presented, the various consequences on the distribution system are explored via the charging of electric vehicles. The IEEE 37 test feeder has been modified to investigate several issues such as active and reactive power at the substation, active and reactive energy loss in the system, influence on distribution transformers and residential house voltages. When PVs are in the system, the power required from the substation is lowered during the day, with no influence on reactive power, and system losses are also reduced. When solar power is available, increasing PV does not affect distribution transformer unbalance, while increasing EV adoption reduces distribution transformer overload dramatically.
{"title":"Impact of Solar PV on Distribution Systems Embedded with Electric Vehicle","authors":"Hemant Modi, D. Saxena, R. K. Chauhan","doi":"10.1109/CAPS52117.2021.9730655","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730655","url":null,"abstract":"When 1-phase rooftop solar photovoltaic (PV) is also presented, the various consequences on the distribution system are explored via the charging of electric vehicles. The IEEE 37 test feeder has been modified to investigate several issues such as active and reactive power at the substation, active and reactive energy loss in the system, influence on distribution transformers and residential house voltages. When PVs are in the system, the power required from the substation is lowered during the day, with no influence on reactive power, and system losses are also reduced. When solar power is available, increasing PV does not affect distribution transformer unbalance, while increasing EV adoption reduces distribution transformer overload dramatically.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134308874","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730700
Mahesh Kumar
This paper presents the development of power control technique for managing the power flow in a cluster of roof-top PV-connected houses, in islanding mode. A centralized control technique has been developed for controlling the clusters of roof-top PV-connected house i.e. PV based ac microgrid. Every roof-top PV-connected house is containing a battery storage system and load. The battery is integrated to ac microgrid via three-phase bidirectional voltage source converter. The developed technique has been aimed to control the flow of power among the PV-connected houses in islanding mode. The modelling and testing of proposed system along with the developed control technique are conducted in MATLAB environment for validating the robustness of proposed technique, under various operating scenarios.
{"title":"Development of Power Control Technique for Power Management in a Cluster of PV - Integrated Houses","authors":"Mahesh Kumar","doi":"10.1109/CAPS52117.2021.9730700","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730700","url":null,"abstract":"This paper presents the development of power control technique for managing the power flow in a cluster of roof-top PV-connected houses, in islanding mode. A centralized control technique has been developed for controlling the clusters of roof-top PV-connected house i.e. PV based ac microgrid. Every roof-top PV-connected house is containing a battery storage system and load. The battery is integrated to ac microgrid via three-phase bidirectional voltage source converter. The developed technique has been aimed to control the flow of power among the PV-connected houses in islanding mode. The modelling and testing of proposed system along with the developed control technique are conducted in MATLAB environment for validating the robustness of proposed technique, under various operating scenarios.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"23 4S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134314136","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}
In this article, Impact Ionization Metal Oxide Semiconductor (IMOS) device is investigated with silicide source material. A comparatively study of Silicide Ultrathin Impact Ionization MOS (SUTIMOS), with conventional IMOS and earlier proposed UTIMOS was also done based on the device parameters such as electric field, impact ionization rate, band diagram, and the current density. Effect of the schottky height of silicide material was also performed on the transfer and output characteristic of the device. All the study has been performed on the sentaurus 2D device simulator TCAD tool.
{"title":"Silicide Ultrathin Impact Ionization MOS (SUTIMOS) for Ultra Low Power VLSI Application","authors":"Ankit Dixit, Rajeewa Kumar Jaisawal, Sunil Rathore, Suneet Kumar Agnihotri, P. Kondekar","doi":"10.1109/CAPS52117.2021.9730672","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730672","url":null,"abstract":"In this article, Impact Ionization Metal Oxide Semiconductor (IMOS) device is investigated with silicide source material. A comparatively study of Silicide Ultrathin Impact Ionization MOS (SUTIMOS), with conventional IMOS and earlier proposed UTIMOS was also done based on the device parameters such as electric field, impact ionization rate, band diagram, and the current density. Effect of the schottky height of silicide material was also performed on the transfer and output characteristic of the device. All the study has been performed on the sentaurus 2D device simulator TCAD tool.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"29 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319251","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730719
K. Das, Sagnik Ghosh, Himandri Sekhar Dutta
The COVID-19 pandemic has hit the world at large claiming large number of lives till date leaving us with no solution except maintaining social distancing or washing hands regularly, wearing masks and staying at homes. Social distancing is one of the key aspects to prevent spreading of this virus. It means more of maintaining suitable distance between each other. Artificial intelligence has been used widely for a large number of purposes and as such is one of the key tools used here for implementing this project. The proposed system identifies people who are not suitable distance apart by using object detection and calculating the Euclidian distance between two people. This system would be beneficial to the authorities for alerting people if the situation is serious.
{"title":"A Deep learning based approach for Social Distance Monitoring","authors":"K. Das, Sagnik Ghosh, Himandri Sekhar Dutta","doi":"10.1109/CAPS52117.2021.9730719","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730719","url":null,"abstract":"The COVID-19 pandemic has hit the world at large claiming large number of lives till date leaving us with no solution except maintaining social distancing or washing hands regularly, wearing masks and staying at homes. Social distancing is one of the key aspects to prevent spreading of this virus. It means more of maintaining suitable distance between each other. Artificial intelligence has been used widely for a large number of purposes and as such is one of the key tools used here for implementing this project. The proposed system identifies people who are not suitable distance apart by using object detection and calculating the Euclidian distance between two people. This system would be beneficial to the authorities for alerting people if the situation is serious.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122928226","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730656
Neha Smitha Lakra, Baidyanath Bag
Conservation Voltage Reduction (CVR) is the most adopted energy efficient technology. It is adopted in the distribution system due to its effectiveness in achieving a reduction in power consumption and peak reduction. In this article the concept of CVR is integrated with VAr optimization to enhance the voltage levels of the network within bounds, to reduce line losses and to decrease the power consumption of the network. All simulations have been performed in the IEEE-33 node system assuming different levels of loads such as RE, CO and IN is to be connected at different buses of the system. A comparative analysis of power demand and other performance parameters have been presented for three different cases. The impact of CVR effects has been tested for two different voltage conditions.
{"title":"An Energy Efficient Method to Reduce Power Loss and Power Consumption in Distribution System","authors":"Neha Smitha Lakra, Baidyanath Bag","doi":"10.1109/CAPS52117.2021.9730656","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730656","url":null,"abstract":"Conservation Voltage Reduction (CVR) is the most adopted energy efficient technology. It is adopted in the distribution system due to its effectiveness in achieving a reduction in power consumption and peak reduction. In this article the concept of CVR is integrated with VAr optimization to enhance the voltage levels of the network within bounds, to reduce line losses and to decrease the power consumption of the network. All simulations have been performed in the IEEE-33 node system assuming different levels of loads such as RE, CO and IN is to be connected at different buses of the system. A comparative analysis of power demand and other performance parameters have been presented for three different cases. The impact of CVR effects has been tested for two different voltage conditions.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115766495","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730607
Lakshay, S. K. Jain
Accurate inertia estimation and forecasting of inertia is very crucial because inertia is the most important parameter in stability studies to keep the frequency at nominal levels with help of energy stored in synchronous generator rotating masses. As the integration of renewable sources increases, power system inertia decreases results in overloading of generation units which may reduce the stability of the power system and system becomes dynamic and causes concern for many grid operators. As a result, inertia assessment is required so that transmission system operators can take appropriate steps to guarantee stability. This paper reviews the inertia estimation techniques used and their evolution in the last decades. An overview and classification of different methods are also carried out and shortcomings of existing techniques have been identified.
{"title":"A Review on Power System Inertia Estimation Techniques","authors":"Lakshay, S. K. Jain","doi":"10.1109/CAPS52117.2021.9730607","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730607","url":null,"abstract":"Accurate inertia estimation and forecasting of inertia is very crucial because inertia is the most important parameter in stability studies to keep the frequency at nominal levels with help of energy stored in synchronous generator rotating masses. As the integration of renewable sources increases, power system inertia decreases results in overloading of generation units which may reduce the stability of the power system and system becomes dynamic and causes concern for many grid operators. As a result, inertia assessment is required so that transmission system operators can take appropriate steps to guarantee stability. This paper reviews the inertia estimation techniques used and their evolution in the last decades. An overview and classification of different methods are also carried out and shortcomings of existing techniques have been identified.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116108962","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730732
Milinda Sagar Behera, S. K. Jain
Demand-side management (DSM) enables customers and utilities to make intelligent decisions regarding energy usage, allowing them to alter the load profile and reduce peak demand in the smart distribution system. In recent years, DSM has been used as a technique to balance electricity usage and the rising electricity demand in line. Demand-side management and demand response (DR) methods are both examined in this research. In this paper, we have discussed different types of DSM programs and especially we have focused on the DR program, its types, and benefits. Different technologies used to establish demand response program has been discussed in this paper. Additionally, it highlights the impact of electric vehicles on this DR program and DR strategy for the electric vehicle sector, along with the future research trends has addressed.
{"title":"A Review on Different Techniques of Demand Response Management and its Future Scopes","authors":"Milinda Sagar Behera, S. K. Jain","doi":"10.1109/CAPS52117.2021.9730732","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730732","url":null,"abstract":"Demand-side management (DSM) enables customers and utilities to make intelligent decisions regarding energy usage, allowing them to alter the load profile and reduce peak demand in the smart distribution system. In recent years, DSM has been used as a technique to balance electricity usage and the rising electricity demand in line. Demand-side management and demand response (DR) methods are both examined in this research. In this paper, we have discussed different types of DSM programs and especially we have focused on the DR program, its types, and benefits. Different technologies used to establish demand response program has been discussed in this paper. Additionally, it highlights the impact of electric vehicles on this DR program and DR strategy for the electric vehicle sector, along with the future research trends has addressed.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114792523","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730709
Barukula Snehitha, Raavi Sai Sreeya, V. Manikandan
Human activity detection is an active research topic now, the difficult problem of fine-grained activity detection is often ignored. This paper proposes a method to detect human activity from still images. Iterative detection of human activity in a scene is another tough and exciting area of computer vision research. In our day to day life, we have seen implementations of automated cars, speech recognition, and various machine learning models. Unlike action detection in videos that have spatio-temporal features, still images can't be considered similarly, making the problem more complex. The current work solely comprises activities that involve objects to reach a simple answer. Based on semantics, a complicated human activity is broken down into smaller components. The significance of each of these elements in action recognition is investigated in depth. This system is based on detecting an individual's action or behaviour with the help of a single frame (image). Activity detection consists of various tasks like object recognition, pose estimation, video action recognition, and image recognition. Since the current paper is focused only on actions that involve objects, a dataset with specified classes is created. Images for this dataset will be chosen from different sources. This study aims at the development of computational algorithms for activity detection in still images.
{"title":"Human Activity Detection from Still Images using Deep Learning Techniques","authors":"Barukula Snehitha, Raavi Sai Sreeya, V. Manikandan","doi":"10.1109/CAPS52117.2021.9730709","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730709","url":null,"abstract":"Human activity detection is an active research topic now, the difficult problem of fine-grained activity detection is often ignored. This paper proposes a method to detect human activity from still images. Iterative detection of human activity in a scene is another tough and exciting area of computer vision research. In our day to day life, we have seen implementations of automated cars, speech recognition, and various machine learning models. Unlike action detection in videos that have spatio-temporal features, still images can't be considered similarly, making the problem more complex. The current work solely comprises activities that involve objects to reach a simple answer. Based on semantics, a complicated human activity is broken down into smaller components. The significance of each of these elements in action recognition is investigated in depth. This system is based on detecting an individual's action or behaviour with the help of a single frame (image). Activity detection consists of various tasks like object recognition, pose estimation, video action recognition, and image recognition. Since the current paper is focused only on actions that involve objects, a dataset with specified classes is created. Images for this dataset will be chosen from different sources. This study aims at the development of computational algorithms for activity detection in still images.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125416970","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730707
J. Rahul, Ashutosh Kumar, L. Sharma
Object detection is a technique to tag objects present in the frame of an image, video sequence, and real-time video. In recent years, the world has been reshaped around deep learning algorithms. This paper makes the user aware of the obstacles present in his environment. There are two fundamental parts in this paper: the software part and the hardware part. The state-of-the-art You Look Only Once (YOLO) algorithm was applied in the present work for object identification. The overall analysis shows that this algorithm produces accurate results for real-time object detection and can be considered faster object identification.
目标检测是一种标记出现在图像、视频序列和实时视频帧中的对象的技术。近年来，世界已经围绕深度学习算法进行了重塑。这篇论文让用户意识到他的环境中存在的障碍。本文主要分为软件部分和硬件部分。最先进的You Look Only Once (YOLO)算法应用于本工作的目标识别。综合分析表明，该算法可以产生准确的实时目标检测结果，可以认为是更快的目标识别。
{"title":"Artificial intelligence enabled smart glove for visually impaired","authors":"J. Rahul, Ashutosh Kumar, L. Sharma","doi":"10.1109/CAPS52117.2021.9730707","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730707","url":null,"abstract":"Object detection is a technique to tag objects present in the frame of an image, video sequence, and real-time video. In recent years, the world has been reshaped around deep learning algorithms. This paper makes the user aware of the obstacles present in his environment. There are two fundamental parts in this paper: the software part and the hardware part. The state-of-the-art You Look Only Once (YOLO) algorithm was applied in the present work for object identification. The overall analysis shows that this algorithm produces accurate results for real-time object detection and can be considered faster object identification.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"147 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870446","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 : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730589
S. R. Gaigowal, M. Renge, S. Bhongade
Flexible AC Transmission System (FACTS) provides a possibility to enable utilization of the existing transmission line to its full power flow rating. Distributed-FACTS converters proven to be the new horizon in power system operation and control. It is capable of controlling power flow with low cost and high reliability. Distributed Static Series Compensator (DSSC) is a series D-FACTS device which is distributed over the existing line. It is similar to lumped series FACTS device i.e. SSSC. This paper presents DSSC to limit fault current in the transmission system. The prime function of DSSC is to enable network to control power flow in the lines. DSSC is a single-phase inverter which is low power, light in weight and it can be directly attached on the existing transmission conductor. It is emulating inductive and capacitive reactance and alters line reactance to control active power flow in the lines. Scope of this DSSC devices to reduce fault current is presented. A fault current in DSSC compensated transmission line is investigated in this paper. MATLAB Simulink results are presented to validate DSSC operation in fault condition.
{"title":"Fault Current Limiting using DSSC on the existing Transmission Lines","authors":"S. R. Gaigowal, M. Renge, S. Bhongade","doi":"10.1109/CAPS52117.2021.9730589","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730589","url":null,"abstract":"Flexible AC Transmission System (FACTS) provides a possibility to enable utilization of the existing transmission line to its full power flow rating. Distributed-FACTS converters proven to be the new horizon in power system operation and control. It is capable of controlling power flow with low cost and high reliability. Distributed Static Series Compensator (DSSC) is a series D-FACTS device which is distributed over the existing line. It is similar to lumped series FACTS device i.e. SSSC. This paper presents DSSC to limit fault current in the transmission system. The prime function of DSSC is to enable network to control power flow in the lines. DSSC is a single-phase inverter which is low power, light in weight and it can be directly attached on the existing transmission conductor. It is emulating inductive and capacitive reactance and alters line reactance to control active power flow in the lines. Scope of this DSSC devices to reduce fault current is presented. A fault current in DSSC compensated transmission line is investigated in this paper. MATLAB Simulink results are presented to validate DSSC operation in fault condition.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126654179","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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