Pub Date : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9751856
Akhil Nigam, K. Sharma
There are various sustainable energy sources which play vital role in producing feasible electricity with less gas emissions and have received extensive attention of researchers across worldwide. Sunlight and wind are two commonly used renewable energy sources. There are two important factors such solar irradiance and wind speed which may change in an unconditional manner. This further produces challenges with the integration of power grid because sometimes electricity may not produce as per load requirement. Hence instead of using single energy source hybrid energy system has been introduced for the production of continuity of electricity. Hybrid energy system may consist of renewable and non-renewable energy sources. In this paper integration of hybrid power system with solar PV cell, wind turbine and hydro energy system has been described under environment of MATLAB/Simulink and done comparative analysis of hybrid energy model.
{"title":"Integration of Hybrid Energy Model with Solar PV, Hydro & Wind Turbine by Using MATLAB/Simulink","authors":"Akhil Nigam, K. Sharma","doi":"10.1109/ICEARS53579.2022.9751856","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751856","url":null,"abstract":"There are various sustainable energy sources which play vital role in producing feasible electricity with less gas emissions and have received extensive attention of researchers across worldwide. Sunlight and wind are two commonly used renewable energy sources. There are two important factors such solar irradiance and wind speed which may change in an unconditional manner. This further produces challenges with the integration of power grid because sometimes electricity may not produce as per load requirement. Hence instead of using single energy source hybrid energy system has been introduced for the production of continuity of electricity. Hybrid energy system may consist of renewable and non-renewable energy sources. In this paper integration of hybrid power system with solar PV cell, wind turbine and hydro energy system has been described under environment of MATLAB/Simulink and done comparative analysis of hybrid energy model.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126836465","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9751890
V. Pavani, M. N. Swetha, Y. Prasanthi, K. Kavya, M. Pavithra
Driver sleepiness has become a leading cause of traffic accidents and fatalities in recent years. The goal of this research is to find a way to identify driver fatigue and provide early warning so that people can be saved. Using image processing techniques, a camera captures video of the driver's face and measures the status of their eye and mouth opening ratios and delivers a warning if necessary. This is a real-time system. There are a variety of methods for determining whether a driver is drowsy, but this one is absolutely non-intrusive and has no effect on the driving in any way. The per-closure value of the eye is taken into account for the identification of drowsiness. Consequently, the driver is classified as sleepy if the closing of the eye exceeds a predetermined threshold. Offline testing of various machine learning algorithms has also been conducted. Support Vector Machine-based classification has a sensibility of 95.58 percent and a specificity of 100 percent.
{"title":"Drowsy Driver Monitoring Using Machine Learning and Visible Actions","authors":"V. Pavani, M. N. Swetha, Y. Prasanthi, K. Kavya, M. Pavithra","doi":"10.1109/ICEARS53579.2022.9751890","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751890","url":null,"abstract":"Driver sleepiness has become a leading cause of traffic accidents and fatalities in recent years. The goal of this research is to find a way to identify driver fatigue and provide early warning so that people can be saved. Using image processing techniques, a camera captures video of the driver's face and measures the status of their eye and mouth opening ratios and delivers a warning if necessary. This is a real-time system. There are a variety of methods for determining whether a driver is drowsy, but this one is absolutely non-intrusive and has no effect on the driving in any way. The per-closure value of the eye is taken into account for the identification of drowsiness. Consequently, the driver is classified as sleepy if the closing of the eye exceeds a predetermined threshold. Offline testing of various machine learning algorithms has also been conducted. Support Vector Machine-based classification has a sensibility of 95.58 percent and a specificity of 100 percent.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899672","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752426
D. K. Surya Teja, C. Rupa, Ch. Roop Kumar, K. Pavan
According to the Energy Information Administration (EIA), wastage of electricity in the world is more than 34%. To reduce and save energy consumption, we need to have smart and automated rooms. The smart room idea carries solace and comfort to our lives with the guide of IoT. Though there are many models of smart and automated rooms, there is a lack of security for most of them. Any person can able to operate the devices very easily without verifying their identity. One more major problem in the present situation is that electricity wastage that causes to raise the cost of the power unit. To overcome these problems, the proposed model uses a web camera for facial recognition (lbph algorithm), a smart lock for unlocking the door, and intelligent power management to reduce power consumption. This model offers the services such as security, automation, and electricity saving. The project’s end product can be predominantly focused at places where reduction of power consumption and security matters like colleges, universities, offices, etc.
{"title":"Secure Smart Room with Intelligent Power Management","authors":"D. K. Surya Teja, C. Rupa, Ch. Roop Kumar, K. Pavan","doi":"10.1109/ICEARS53579.2022.9752426","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752426","url":null,"abstract":"According to the Energy Information Administration (EIA), wastage of electricity in the world is more than 34%. To reduce and save energy consumption, we need to have smart and automated rooms. The smart room idea carries solace and comfort to our lives with the guide of IoT. Though there are many models of smart and automated rooms, there is a lack of security for most of them. Any person can able to operate the devices very easily without verifying their identity. One more major problem in the present situation is that electricity wastage that causes to raise the cost of the power unit. To overcome these problems, the proposed model uses a web camera for facial recognition (lbph algorithm), a smart lock for unlocking the door, and intelligent power management to reduce power consumption. This model offers the services such as security, automation, and electricity saving. The project’s end product can be predominantly focused at places where reduction of power consumption and security matters like colleges, universities, offices, etc.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237230","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}
The growth of the internet has led to the development of today’s data-centric world where information can be exchanged from one part of the world to another with the click of a button. The most commonly used communication device is the mobile phone, with the ability of a portable computer. A large number of chatting applications have been developed that help people to communicate. The information typed inside these chatting applications must pass through the public infrastructure to reach the destination which is its most vulnerable phase of data transfer. A malicious hacker can gain access to messages or alter the messages thus compromising the data security. To maintain data integrity and confidentiality data encryption is used. Data encryption is used which convert our messages into encrypted form so that only people with the secret key can read them. Many systems now claim to guarantee safe and secret messages, bolstered by recent allegations of pervasive state surveillance of personal conversations. This covers a huge number of new projects as well as numerous well-known security-enhancing tools.We investigate and arrange current secure message solutions, as well as present a test framework for their security, usability, and ease of use. We sketch out each design area for three important challenges: trust establishment, conversation security, and transit privacy. Trusted methods of providing secure security and privacy features do not work well in use and detection, while other mixed methods that have not been properly processed in academic textbooks may provide better trade performance.
{"title":"Design and Implementation of Encryption Tool using Advanced Encryption Standard (AES)","authors":"Sanket Anil Dambhare, Rutvik Rajesh Walde, Sahil Ramrao Bhogekar, Sai Ranajit, Ritik Shriniwas Kotgiriwar, Sakshi Sudhakar Langde","doi":"10.1109/ICEARS53579.2022.9751822","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751822","url":null,"abstract":"The growth of the internet has led to the development of today’s data-centric world where information can be exchanged from one part of the world to another with the click of a button. The most commonly used communication device is the mobile phone, with the ability of a portable computer. A large number of chatting applications have been developed that help people to communicate. The information typed inside these chatting applications must pass through the public infrastructure to reach the destination which is its most vulnerable phase of data transfer. A malicious hacker can gain access to messages or alter the messages thus compromising the data security. To maintain data integrity and confidentiality data encryption is used. Data encryption is used which convert our messages into encrypted form so that only people with the secret key can read them. Many systems now claim to guarantee safe and secret messages, bolstered by recent allegations of pervasive state surveillance of personal conversations. This covers a huge number of new projects as well as numerous well-known security-enhancing tools.We investigate and arrange current secure message solutions, as well as present a test framework for their security, usability, and ease of use. We sketch out each design area for three important challenges: trust establishment, conversation security, and transit privacy. Trusted methods of providing secure security and privacy features do not work well in use and detection, while other mixed methods that have not been properly processed in academic textbooks may provide better trade performance.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126316621","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752323
M. Selvaganesh, P. Naveen Karthi, V. A. Nitish Kumar, S. R. Prashanna Moorthy
A brute force is a Hacking methodology used to decrypt login passwords, keys and credentials. Hacks that exploit vulnerabilities in packages are rare, whereas Brute Force attacks aim to be the simplest, cheapest, and most straightforward approach to access a website. Using Splunk to analyse massive amounts of data could be very beneficial. The application enables to capture, search, and analyse log information in real-time. By analysing logs as well as many different sources of system information, security events can be uncovered. A log file, which details the events that have occurred in the environment of the application and the server on which they run, is a valuable piece of information. Identifying the attacks against these systems is possible by analysing and correlating this information. Massive amounts of ambiguous and amorphous information can be analysed with its superior resolution. The paper includes instructions on setting up a Splunk server and routing information there from multiple sources. Practical search examples and pre-built add-on applications are provided. Splunk is a powerful tool that allows users to explore big data with greater ease. Seizure can be tracked in near real-time and can be searched through logs. A short amount of time can be spent on analysing big data using map-reduce technology. Briefly, it helps to analyse unstructured log data to better understand how the applications operate. With Splunk, client can detect patterns in the data through a powerful query language. It is easy to set up alerts and warnings based on the queries, which will help alert client about an ongoing (suspected) activity and generate a notification in real-time.
{"title":"Efficient Brute-force handling methodology using Indexed-Cluster Architecture of Splunk","authors":"M. Selvaganesh, P. Naveen Karthi, V. A. Nitish Kumar, S. R. Prashanna Moorthy","doi":"10.1109/ICEARS53579.2022.9752323","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752323","url":null,"abstract":"A brute force is a Hacking methodology used to decrypt login passwords, keys and credentials. Hacks that exploit vulnerabilities in packages are rare, whereas Brute Force attacks aim to be the simplest, cheapest, and most straightforward approach to access a website. Using Splunk to analyse massive amounts of data could be very beneficial. The application enables to capture, search, and analyse log information in real-time. By analysing logs as well as many different sources of system information, security events can be uncovered. A log file, which details the events that have occurred in the environment of the application and the server on which they run, is a valuable piece of information. Identifying the attacks against these systems is possible by analysing and correlating this information. Massive amounts of ambiguous and amorphous information can be analysed with its superior resolution. The paper includes instructions on setting up a Splunk server and routing information there from multiple sources. Practical search examples and pre-built add-on applications are provided. Splunk is a powerful tool that allows users to explore big data with greater ease. Seizure can be tracked in near real-time and can be searched through logs. A short amount of time can be spent on analysing big data using map-reduce technology. Briefly, it helps to analyse unstructured log data to better understand how the applications operate. With Splunk, client can detect patterns in the data through a powerful query language. It is easy to set up alerts and warnings based on the queries, which will help alert client about an ongoing (suspected) activity and generate a notification in real-time.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120956132","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752350
Sujata Tukaram Bhairnallykar, Dr. Vaibhav Eknath Narawade
Magnetic resonance imaging has emerged as one of the maxima broadly used and flexible scientific imaging modalities today. While at the beginning of this technique the research was fundamentally qualitative and relied exclusively on observation of images, currently several technological developments have driven it possible to derive quantitative measurements from these data. However, MR images are normally affected by several types of artifacts which must be minimized before a quantitative biomarker assessment pipeline is applied. This paper proposes preprocessing to the magnetic resonance (MR) images to enhance the standard of the image and to ease the next processing and analysis. The proposed method uses Non-Local Means (NLM) for noise removal and Histogram Equalization (HE) for enhancing the contrast of Magnetic resonance images for the preprocessing.
{"title":"Pre-processing of Multimodal MR Images using NLM and Histogram Equalization","authors":"Sujata Tukaram Bhairnallykar, Dr. Vaibhav Eknath Narawade","doi":"10.1109/ICEARS53579.2022.9752350","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752350","url":null,"abstract":"Magnetic resonance imaging has emerged as one of the maxima broadly used and flexible scientific imaging modalities today. While at the beginning of this technique the research was fundamentally qualitative and relied exclusively on observation of images, currently several technological developments have driven it possible to derive quantitative measurements from these data. However, MR images are normally affected by several types of artifacts which must be minimized before a quantitative biomarker assessment pipeline is applied. This paper proposes preprocessing to the magnetic resonance (MR) images to enhance the standard of the image and to ease the next processing and analysis. The proposed method uses Non-Local Means (NLM) for noise removal and Histogram Equalization (HE) for enhancing the contrast of Magnetic resonance images for the preprocessing.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115849779","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 paper, automatic load frequency controllers (ALFC) are considered for an interconnected micro-grid system to enhance the transient performance of frequency deviation. The widespread use of renewable energy in an interconnected micro-grid would cause frequency instability. Frequency stability is a significant concern for the operation of interconnected micro-grids. The modeling of interconnected micro-grids comprising of a wind power generation, a diesel engine generator and Energy Storage system. A conventional Proportional Integral Derivative (PID) controller tuned by Ziegler-Nichols method (ZN) is designed for the sample interconnected micro-grid system for improving the frequency stability. The efficacy of ALFC for interconnected micro-grids is demonstrated using MATLAB/Simulink under abrupt change in load demand and uncertainties in system parameters. The results obtained through simulation are validated in HIL simulation environment using Real Time Simulator.
本文考虑在互联微电网系统中引入自动负荷频率控制器(ALFC)，以提高系统的暂态频率偏差性能。在相互连接的微电网中广泛使用可再生能源将导致频率不稳定。频率稳定性是互联微电网运行的一个重要问题。由风力发电机、柴油发电机和储能系统组成的互联微电网的建模。为提高采样互联微电网系统的频率稳定性，设计了一种采用齐格勒-尼克尔斯方法整定的传统比例积分导数(PID)控制器。在负荷需求突变和系统参数不确定的情况下，利用MATLAB/Simulink验证了ALFC在互联微电网中的有效性。利用Real Time Simulator在HIL仿真环境中对仿真结果进行了验证。
{"title":"Automatic Load Frequency Control for Interconnected Micro-Grid System","authors":"Jeevitha Kandasamy, Rajeswari Ramachandran, Veerapandiyan Veerasamy","doi":"10.1109/ICEARS53579.2022.9752042","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752042","url":null,"abstract":"In this paper, automatic load frequency controllers (ALFC) are considered for an interconnected micro-grid system to enhance the transient performance of frequency deviation. The widespread use of renewable energy in an interconnected micro-grid would cause frequency instability. Frequency stability is a significant concern for the operation of interconnected micro-grids. The modeling of interconnected micro-grids comprising of a wind power generation, a diesel engine generator and Energy Storage system. A conventional Proportional Integral Derivative (PID) controller tuned by Ziegler-Nichols method (ZN) is designed for the sample interconnected micro-grid system for improving the frequency stability. The efficacy of ALFC for interconnected micro-grids is demonstrated using MATLAB/Simulink under abrupt change in load demand and uncertainties in system parameters. The results obtained through simulation are validated in HIL simulation environment using Real Time Simulator.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645487","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9751882
Sandhya Kumari, Arjun Rathi, Ayush Chauhan, Nigarish Umer Khan, S. Sreekumar, Sonika Singh
Across the globe, renewable generation integration has been increasing in the last decades to meet ever-increasing power demand and emission targets. Wind power has dominated among various renewable sources due to the widespread availability and advanced low-cost technologies. However, the stochastic nature of wind power results in power system reliability and security issues. This is because the uncertain variability of wind power results in challenges to various system operations such as unit commitment and economic dispatch. Such problems can be addressed by accurate wind power forecasts to great extent. This attracted wider investigations for obtaining accurate power forecasts using various forecasting models such as time series, machine learning, probabilistic, and hybrid. These models use different types of inputs and obtain forecasts in different time horizons, and have different applications. Also, different investigations represent forecasting performance using different performance metrics. Limited classification reviews are available for these areas and detailed classification on these areas will help researchers and system operators to develop new accurate forecasting models. Therefore, this paper proposes a detailed review of those areas. It concludes that even though quantum investigations are available, wind power forecasting accuracy improvement is an ever-existing research problem. Also, forecasting performance indication in financial term such as deviation charges can be used to represent the economic impact of forecasting accuracy improvement.
{"title":"Wind Power Forecasting Models: Classification based on Type of Model, Time Horizon and Inputs, Error Metrics and Applications","authors":"Sandhya Kumari, Arjun Rathi, Ayush Chauhan, Nigarish Umer Khan, S. Sreekumar, Sonika Singh","doi":"10.1109/ICEARS53579.2022.9751882","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751882","url":null,"abstract":"Across the globe, renewable generation integration has been increasing in the last decades to meet ever-increasing power demand and emission targets. Wind power has dominated among various renewable sources due to the widespread availability and advanced low-cost technologies. However, the stochastic nature of wind power results in power system reliability and security issues. This is because the uncertain variability of wind power results in challenges to various system operations such as unit commitment and economic dispatch. Such problems can be addressed by accurate wind power forecasts to great extent. This attracted wider investigations for obtaining accurate power forecasts using various forecasting models such as time series, machine learning, probabilistic, and hybrid. These models use different types of inputs and obtain forecasts in different time horizons, and have different applications. Also, different investigations represent forecasting performance using different performance metrics. Limited classification reviews are available for these areas and detailed classification on these areas will help researchers and system operators to develop new accurate forecasting models. Therefore, this paper proposes a detailed review of those areas. It concludes that even though quantum investigations are available, wind power forecasting accuracy improvement is an ever-existing research problem. Also, forecasting performance indication in financial term such as deviation charges can be used to represent the economic impact of forecasting accuracy improvement.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121385125","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752146
S. A. Bhande, V. Chandrakar
In the electricity market competition, there is more power exchange with reverse power sharing. The key challenge is to make electrical energy available in the majority of areas at the lowest possible cost and with the best level of dependability. As a result, the transmission network must run at or over one or more transfer limitations, causing transmission line congestion. Proper usage of reactive power compensation based on FACTS devices can alleviate these transmission line issues. The major goal of this research is to improve the performance of the power system using a static synchronous series compensator (SSSC). The suggested controller's performance is assessed under various conditions. According to the simulation findings, the PI-based SSSC successfully manages the power flow in a disturbed state. As a consequence, the suggested SSSC-based controller provides efficient damping control, improves system profile voltage under various load conditions, and increases power system security.
{"title":"Static Synchronous Series Compensator (SSSC) to Improve Power System Security","authors":"S. A. Bhande, V. Chandrakar","doi":"10.1109/ICEARS53579.2022.9752146","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752146","url":null,"abstract":"In the electricity market competition, there is more power exchange with reverse power sharing. The key challenge is to make electrical energy available in the majority of areas at the lowest possible cost and with the best level of dependability. As a result, the transmission network must run at or over one or more transfer limitations, causing transmission line congestion. Proper usage of reactive power compensation based on FACTS devices can alleviate these transmission line issues. The major goal of this research is to improve the performance of the power system using a static synchronous series compensator (SSSC). The suggested controller's performance is assessed under various conditions. According to the simulation findings, the PI-based SSSC successfully manages the power flow in a disturbed state. As a consequence, the suggested SSSC-based controller provides efficient damping control, improves system profile voltage under various load conditions, and increases power system security.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121463939","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752208
Md. Minhaz Khan, S.M. Zahid Hasan Sakil, Muhammad Ahad Rahman Miah, M. Rana, Shaikh Rashedur Rahman
Electricity is an essential part of modern life and per capita electricity consumption is an important indicator of economic development of a country. As generation of electrical energy mostly comes from fossil fuel-based energy sources which turns to the significant environmental impacts. Therefore, to achieve sustainable development a country must concentrate on efficient management and conservation of energy. To focus on this issue the uses and demand of different Energy Management System (EMS) is rising. Energy management system helps to reduce power consumption, cost, suffering and increase reliability, resilience and the comfort level. In this paper, an Internet of Things (IOT) based EMS is designed and implemented in a residential building by combining smart meter, smart switch board, smart mobile apps and database server. The designed system introduces some unique feature considering the local perspective. This system will connect both the consumer and the utility company for efficient and reliable operation and supply of electrical energy. The consumer will be able to control and mange electrical loads and therefore can achieve energy conservation through EMS. The designed system is user friendly which can be operated from anywhere and economically viable.
{"title":"Sustainable Building Energy Conservation and Efficiency Management using IoT","authors":"Md. Minhaz Khan, S.M. Zahid Hasan Sakil, Muhammad Ahad Rahman Miah, M. Rana, Shaikh Rashedur Rahman","doi":"10.1109/ICEARS53579.2022.9752208","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752208","url":null,"abstract":"Electricity is an essential part of modern life and per capita electricity consumption is an important indicator of economic development of a country. As generation of electrical energy mostly comes from fossil fuel-based energy sources which turns to the significant environmental impacts. Therefore, to achieve sustainable development a country must concentrate on efficient management and conservation of energy. To focus on this issue the uses and demand of different Energy Management System (EMS) is rising. Energy management system helps to reduce power consumption, cost, suffering and increase reliability, resilience and the comfort level. In this paper, an Internet of Things (IOT) based EMS is designed and implemented in a residential building by combining smart meter, smart switch board, smart mobile apps and database server. The designed system introduces some unique feature considering the local perspective. This system will connect both the consumer and the utility company for efficient and reliable operation and supply of electrical energy. The consumer will be able to control and mange electrical loads and therefore can achieve energy conservation through EMS. The designed system is user friendly which can be operated from anywhere and economically viable.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116577638","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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