Pub Date : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467464
Kesh Pun, Saurav M. S. Basnet, W. Jewell
Solar power generation is highly intermittent, nonlinear, and variable in nature. The increase in penetration level of solar energy resources poses technical challenges. An accurate forecasting model is crucial to minimizing these technical issues. Therefore, choosing the right forecasting technique for the right forecasting horizon is vital. In this study, the performance analysis of machine learning and time series forecasting techniques for various forecasting horizons has been investigated. Its accuracy, root mean square error (RMSE), and mean absolute error (MAE) have been compared to other techniques.
{"title":"Solar Power Prediction in Different Forecasting Horizons Using Machine Learning and Time Series Techniques","authors":"Kesh Pun, Saurav M. S. Basnet, W. Jewell","doi":"10.1109/SusTech51236.2021.9467464","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467464","url":null,"abstract":"Solar power generation is highly intermittent, nonlinear, and variable in nature. The increase in penetration level of solar energy resources poses technical challenges. An accurate forecasting model is crucial to minimizing these technical issues. Therefore, choosing the right forecasting technique for the right forecasting horizon is vital. In this study, the performance analysis of machine learning and time series forecasting techniques for various forecasting horizons has been investigated. Its accuracy, root mean square error (RMSE), and mean absolute error (MAE) have been compared to other techniques.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435444","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467456
B. Dang
Numerous data analytic techniques have been employed by the United States Navy for air conditioning (AC) plant condition-based maintenance. The developed diagnosis models include physics-based and data-driven approaches, particularly regression models have shown that AC plants operating conditions could be correctly diagnosed for poor conditions or faults. However, building effective condition-based maintenance models for AC plants faults prognosis based on classification has not been explored in-depth. This paper presents a comparative study of machine learning classification techniques that produces solutions that are as effective and better than solutions produced by the physics-based and regression approaches.
{"title":"Applications of Supervised-Learning Approaches for Air Conditioning Plants Condition-Based Maintenance","authors":"B. Dang","doi":"10.1109/SusTech51236.2021.9467456","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467456","url":null,"abstract":"Numerous data analytic techniques have been employed by the United States Navy for air conditioning (AC) plant condition-based maintenance. The developed diagnosis models include physics-based and data-driven approaches, particularly regression models have shown that AC plants operating conditions could be correctly diagnosed for poor conditions or faults. However, building effective condition-based maintenance models for AC plants faults prognosis based on classification has not been explored in-depth. This paper presents a comparative study of machine learning classification techniques that produces solutions that are as effective and better than solutions produced by the physics-based and regression approaches.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216298","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467424
Rozie Zangeneh, S. Musa
In this paper, a Three-Dimensional (3D) Computational Fluid Dynamic (CFD) simulation of a biomimetic robot fish is studied. The OpenFOAM software is used to define the movement of the robot fish and the dynamic mesh is used to mimic the fish swimming in water. Hydrodynamic analysis has been done to analyze the motion of the robot in water. Furthermore, this paper provides comparative data about hydrodynamic properties to improve the design, remote control, and flexibility of the underwater robot fish. In addition, it discusses how the fish oscillates the tail and the caudal fin to push water away behind it and get the thrust pushing it forward.
{"title":"Hydrodynamic Analysis of Biomimetic Robot Fish Using OpenFOAM","authors":"Rozie Zangeneh, S. Musa","doi":"10.1109/SusTech51236.2021.9467424","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467424","url":null,"abstract":"In this paper, a Three-Dimensional (3D) Computational Fluid Dynamic (CFD) simulation of a biomimetic robot fish is studied. The OpenFOAM software is used to define the movement of the robot fish and the dynamic mesh is used to mimic the fish swimming in water. Hydrodynamic analysis has been done to analyze the motion of the robot in water. Furthermore, this paper provides comparative data about hydrodynamic properties to improve the design, remote control, and flexibility of the underwater robot fish. In addition, it discusses how the fish oscillates the tail and the caudal fin to push water away behind it and get the thrust pushing it forward.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134512471","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467431
C. Nicodeme
Sustainability is a vast subject involving various research areas. Emerging technologies, through their development and the possibilities they offer, impact sustainability. In particular, Artificial Intelligence and Machine Learning have been trendy research subjects for almost a decade now. They offer a wide range of potential applications, including energy efficiency and Intelligent Transportation Systems, two key elements for Smart Cities. All these developments seem to put AI in a favorable position to build Sustainability. However, AI’s own ecological impact and carbon footprint is disastrous and drastic changes must be done if this technology is to be used in a sustainable future. This paper offers a short overview of AI potential for sustainability, in the context of Smart cities. Then the drawbacks of AI energy consumption are highlighted. New ways and methodologies are proposed to create greener AI.
{"title":"AI Legitimacy for Sustainability","authors":"C. Nicodeme","doi":"10.1109/SusTech51236.2021.9467431","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467431","url":null,"abstract":"Sustainability is a vast subject involving various research areas. Emerging technologies, through their development and the possibilities they offer, impact sustainability. In particular, Artificial Intelligence and Machine Learning have been trendy research subjects for almost a decade now. They offer a wide range of potential applications, including energy efficiency and Intelligent Transportation Systems, two key elements for Smart Cities. All these developments seem to put AI in a favorable position to build Sustainability. However, AI’s own ecological impact and carbon footprint is disastrous and drastic changes must be done if this technology is to be used in a sustainable future. This paper offers a short overview of AI potential for sustainability, in the context of Smart cities. Then the drawbacks of AI energy consumption are highlighted. New ways and methodologies are proposed to create greener AI.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881149","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467466
Jonathan Warner, T. Masaud
Energy trading among networked microgrids can be an effective tool to achieve reliability and economic benefits. This paper proposes a two stage Peer-to-Peer (P2P) energy trading model consisting of a local scheduling optimization problem in stage one and an energy trading price adjustment mechanism in stage two. In this study, it was assumed that all networked microgrids are connected to the utility grid and to each other. However, the amount of power that can be exchanged with the utility grid is limited by the tie-line maximum capacity; hence, the trading scheme is developed for energy trading between the networked microgrids to satisfy their deficit and surplus power that cannot be exchanged with the utility grid due to tie-line limit. Simulation is conducted to validate the proposed model using a 24-hour forecasted net load data for seven networked microgrids.
{"title":"Decentralized Peer-to-Peer Energy Trading Model for Networked Microgrids","authors":"Jonathan Warner, T. Masaud","doi":"10.1109/SusTech51236.2021.9467466","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467466","url":null,"abstract":"Energy trading among networked microgrids can be an effective tool to achieve reliability and economic benefits. This paper proposes a two stage Peer-to-Peer (P2P) energy trading model consisting of a local scheduling optimization problem in stage one and an energy trading price adjustment mechanism in stage two. In this study, it was assumed that all networked microgrids are connected to the utility grid and to each other. However, the amount of power that can be exchanged with the utility grid is limited by the tie-line maximum capacity; hence, the trading scheme is developed for energy trading between the networked microgrids to satisfy their deficit and surplus power that cannot be exchanged with the utility grid due to tie-line limit. Simulation is conducted to validate the proposed model using a 24-hour forecasted net load data for seven networked microgrids.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053691","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467480
Renée A. Skeete
There is a general consensus that the future of green jobs looks bright. High schoolers interested in pursuing careers in the field, especially the energy sector, will enhance their candidacy through opportunities that augment classroom learning and combine theory with practical application. One such program is "Create a Spark" offered by Chicago-based Commonwealth Edison (ComEd). This program is designed to encourage an energy mindset, which involves prioritizing energy stewardship and serving as an energy ambassador for the community. The capstone experience in Create a Spark is a sustainable home design challenge that teaches high school students the fundamentals of residential energy efficiency and how to maximize efficiency. Create a Spark, and the Energy House Challenge in particular, have been well-received by high school participants. The Energy House Challenge was rated among the most interesting components of Create a Spark programming. There were statistically significant post-program increases on two dimensions of the energy mindset: knowing how to educate others to make informed energy decisions, and self-reported education of family and community members on how to make informed energy decisions. These results indicate the potential for future success in building energy mindset through short-term out-of-school programming that focuses on hands-on learning and mentorship.
人们普遍认为，绿色工作的未来看起来很光明。有兴趣从事该领域职业的高中生，特别是能源部门，将通过增加课堂学习和将理论与实际应用相结合的机会提高他们的候选人资格。芝加哥联邦爱迪生公司(ComEd)提供的“创造火花”就是这样一个项目。该项目旨在鼓励一种能源心态，其中包括优先考虑能源管理，并担任社区的能源大使。Create a Spark的顶点体验是一个可持续的家居设计挑战，教给高中生住宅能源效率的基础知识以及如何最大限度地提高效率。“创造火花”，尤其是“能源之家挑战”，受到了高中参与者的好评。能源屋挑战赛被评为Create a Spark编程中最有趣的部分之一。在统计上，项目结束后，在能源心态的两个维度上有了显著的提高:知道如何教育他人做出明智的能源决策，以及自我报告的家庭和社区成员如何做出明智的能源决策的教育。这些结果表明，通过注重实践学习和指导的短期校外项目，未来在建立能源思维方面有可能取得成功。
{"title":"Sparking Energy Mindset at Home with the Create a Spark Energy House Challenge","authors":"Renée A. Skeete","doi":"10.1109/SusTech51236.2021.9467480","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467480","url":null,"abstract":"There is a general consensus that the future of green jobs looks bright. High schoolers interested in pursuing careers in the field, especially the energy sector, will enhance their candidacy through opportunities that augment classroom learning and combine theory with practical application. One such program is \"Create a Spark\" offered by Chicago-based Commonwealth Edison (ComEd). This program is designed to encourage an energy mindset, which involves prioritizing energy stewardship and serving as an energy ambassador for the community. The capstone experience in Create a Spark is a sustainable home design challenge that teaches high school students the fundamentals of residential energy efficiency and how to maximize efficiency. Create a Spark, and the Energy House Challenge in particular, have been well-received by high school participants. The Energy House Challenge was rated among the most interesting components of Create a Spark programming. There were statistically significant post-program increases on two dimensions of the energy mindset: knowing how to educate others to make informed energy decisions, and self-reported education of family and community members on how to make informed energy decisions. These results indicate the potential for future success in building energy mindset through short-term out-of-school programming that focuses on hands-on learning and mentorship.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"73 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114250909","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467437
Joel Lee, Nicholas Papp, K. Le, S. Dobbs, Connor McGarry, Sahaj Bhakta, Kenneth Tarroza, Zhen Yu, Martin O'Connell
This paper discusses the on-going investigation of novel technologies for increasing the endurance of UAVs, mainly by increasing power-to-weight ratio through parasitic weight reduction of structural and power systems and generating/harvesting energy mid-flight. Electrically-powered UAVs are typically limited in range and mission time due to the limited capacity of existing technologies. The benefit of increased endurance is the ability to provide virtually nonstop surveillance over an area, which has both commercial and military applications. The student engineering team at the California State Polytechnic University, Pomona have been working on this multi-year, multidisciplinary project to integrate a variety of technologies into an existing RC aircraft. Flexible solar panels that double as wing skin, vibrational kinetic energy generators, in-flight induction wireless recharging and thermoelectric generators are the four main methods of generating power during flight. To store the power, the wing spars double as the main batteries and structural supercapacitors could replace the lower wing skin. These storage devices reduce parasitic weight by doubling as aircraft structural components, therefore forming a "flying battery". An intelligent power management system was developed to accept the AC and DC power sources and maximize re-charge rate by alternating which battery is charged at a given time.
{"title":"High-Endurance UAV Via Parasitic Weight Minimization and Wireless Energy Harvesting","authors":"Joel Lee, Nicholas Papp, K. Le, S. Dobbs, Connor McGarry, Sahaj Bhakta, Kenneth Tarroza, Zhen Yu, Martin O'Connell","doi":"10.1109/SusTech51236.2021.9467437","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467437","url":null,"abstract":"This paper discusses the on-going investigation of novel technologies for increasing the endurance of UAVs, mainly by increasing power-to-weight ratio through parasitic weight reduction of structural and power systems and generating/harvesting energy mid-flight. Electrically-powered UAVs are typically limited in range and mission time due to the limited capacity of existing technologies. The benefit of increased endurance is the ability to provide virtually nonstop surveillance over an area, which has both commercial and military applications. The student engineering team at the California State Polytechnic University, Pomona have been working on this multi-year, multidisciplinary project to integrate a variety of technologies into an existing RC aircraft. Flexible solar panels that double as wing skin, vibrational kinetic energy generators, in-flight induction wireless recharging and thermoelectric generators are the four main methods of generating power during flight. To store the power, the wing spars double as the main batteries and structural supercapacitors could replace the lower wing skin. These storage devices reduce parasitic weight by doubling as aircraft structural components, therefore forming a \"flying battery\". An intelligent power management system was developed to accept the AC and DC power sources and maximize re-charge rate by alternating which battery is charged at a given time.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114611788","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467436
N. Fernando, J. Acken, R. Bass
Electric power system operators can manage distribution system reliability by coordinating end customer usage of distributed energy resources. The end customers in this regard are Service Provisioning Customers, who provide their energy resources to a Grid Service Provider, which in turn dispatches large aggregations of distributed energy resources to provide reliable service to the power system.The security of this system relies upon information protection mechanisms, as described in IEEE 2030.5. However, in addition to preventive security measures, a monitoring function is required to ensure trustworthiness. Trust models are a method to detect and respond to both expected and unexpected behavior. Different trust models are required for various types and characteristics of each situation. This paper will describe the topics that must be considered when developing a trust model as it applies to distributed energy resources. The major contribution of this paper is the creation and application of a Distributed Trust Model applied to distributed energy resources.
{"title":"Developing a Distributed Trust Model for Distributed Energy Resources","authors":"N. Fernando, J. Acken, R. Bass","doi":"10.1109/SusTech51236.2021.9467436","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467436","url":null,"abstract":"Electric power system operators can manage distribution system reliability by coordinating end customer usage of distributed energy resources. The end customers in this regard are Service Provisioning Customers, who provide their energy resources to a Grid Service Provider, which in turn dispatches large aggregations of distributed energy resources to provide reliable service to the power system.The security of this system relies upon information protection mechanisms, as described in IEEE 2030.5. However, in addition to preventive security measures, a monitoring function is required to ensure trustworthiness. Trust models are a method to detect and respond to both expected and unexpected behavior. Different trust models are required for various types and characteristics of each situation. This paper will describe the topics that must be considered when developing a trust model as it applies to distributed energy resources. The major contribution of this paper is the creation and application of a Distributed Trust Model applied to distributed energy resources.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126912077","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467414
Vishwajit Roy, Subrina Noureen, Sharif Atique, S. Bayne, M. Giesselmann
Some of the recent reports show that Power Grid is a target of attack and gradually the need for understanding the security of Grid network is getting a prime focus. The Department of Homeland Security has imposed focus on Cyber Threats on Power Grid in their "Cyber Security Strategy,2018" [1] . DHS has focused on innovations to manage risk attacks on Power System based national resources. Power Grid is a cyber physical system which consists of power flow and data transmission. The important part of a microgrid is the two-way power flow which makes the system complex on monitoring and control. In this paper, we have tried to study different types of attacks which change the data propagation of Synchrophasor, network communication interruption behavior and find the data propagation scenario due to attack. The focus of the paper is to develop a platform for Synchrophasor based data network attack study which is a part of Microgrid design. Different types of intrusion models were studied to observe change in Synchrophasor data pattern which will help for further prediction to improve Microgrid resiliency for different types of cyber-attack.
{"title":"Intrusion Detection from Synchrophasor Data propagation using Cyber Physical Platform","authors":"Vishwajit Roy, Subrina Noureen, Sharif Atique, S. Bayne, M. Giesselmann","doi":"10.1109/SusTech51236.2021.9467414","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467414","url":null,"abstract":"Some of the recent reports show that Power Grid is a target of attack and gradually the need for understanding the security of Grid network is getting a prime focus. The Department of Homeland Security has imposed focus on Cyber Threats on Power Grid in their \"Cyber Security Strategy,2018\" [1] . DHS has focused on innovations to manage risk attacks on Power System based national resources. Power Grid is a cyber physical system which consists of power flow and data transmission. The important part of a microgrid is the two-way power flow which makes the system complex on monitoring and control. In this paper, we have tried to study different types of attacks which change the data propagation of Synchrophasor, network communication interruption behavior and find the data propagation scenario due to attack. The focus of the paper is to develop a platform for Synchrophasor based data network attack study which is a part of Microgrid design. Different types of intrusion models were studied to observe change in Synchrophasor data pattern which will help for further prediction to improve Microgrid resiliency for different types of cyber-attack.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125033355","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467423
Sean Monemi, Balsam Boudiab, Ulysses Perez-Ramirez
The Smart grid technology uses the integration of communication, automation, and power sources to assure a safe and reliable electric grid. Integrating new technologies to the electric grid will result a grid with more efficient and reduce the down time for a distribution line due to single or multiple faults. Our proposed automated system will work to monitor and control a real-world like model of a smart grid for AC distribution lines. A microcontroller will be reading the information derived by the current sensors to continuously detect sudden changes in current. When fault occurs in the system it will be detected by the sensor and communication mechanism. The computing station will automatically communicate with relays to isolate the fault. Once the fault has been isolated, the fault indicator will be triggered and a notification about detection and localization of fault will be issued.
{"title":"Automation of Power Distribution System for a Model of Smart Grid","authors":"Sean Monemi, Balsam Boudiab, Ulysses Perez-Ramirez","doi":"10.1109/SusTech51236.2021.9467423","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467423","url":null,"abstract":"The Smart grid technology uses the integration of communication, automation, and power sources to assure a safe and reliable electric grid. Integrating new technologies to the electric grid will result a grid with more efficient and reduce the down time for a distribution line due to single or multiple faults. Our proposed automated system will work to monitor and control a real-world like model of a smart grid for AC distribution lines. A microcontroller will be reading the information derived by the current sensors to continuously detect sudden changes in current. When fault occurs in the system it will be detected by the sensor and communication mechanism. The computing station will automatically communicate with relays to isolate the fault. Once the fault has been isolated, the fault indicator will be triggered and a notification about detection and localization of fault will be issued.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133101425","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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