Pub Date : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102705
Alex Nassif, K. Wheeler
Inverter-based renewable generation resources are proliferating as a response to environmental policy. Along with these variable forms of generation comes the application of battery energy storage systems that are necessary to level off generation as well as provide system support that in many jurisdictions can include ramp rate regulation. They can also enable high levels of renewable penetration by contributing to system inertia, ancillary services near critical facilities, reducing transmission security violations, and orderly islanding, with the objective of improving system resilience. It is well known that the costs of renewable generation and energy storage have been following a descending trend which has led to a gradually higher adoption level. These inverter-based resources, however, create new problems for electrical utilities planners and engineers. One such issue, which has been studied recently, is how to measure, test, and manage load rejection overvoltage. This phenomenon takes place upon sudden islanding of a power system area such that it becomes supported by grid-following inverter-based resources only. This paper presents background, practical methods to test the behavior, as well as two case studies of utility-scale generation and energy storage connected to a distribution feeder.
{"title":"Modeling and Measurement of Load Rejection Overvoltage of Inverter-Based Resources Interconnected to Distribution Feeders","authors":"Alex Nassif, K. Wheeler","doi":"10.1109/GridEdge54130.2023.10102705","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102705","url":null,"abstract":"Inverter-based renewable generation resources are proliferating as a response to environmental policy. Along with these variable forms of generation comes the application of battery energy storage systems that are necessary to level off generation as well as provide system support that in many jurisdictions can include ramp rate regulation. They can also enable high levels of renewable penetration by contributing to system inertia, ancillary services near critical facilities, reducing transmission security violations, and orderly islanding, with the objective of improving system resilience. It is well known that the costs of renewable generation and energy storage have been following a descending trend which has led to a gradually higher adoption level. These inverter-based resources, however, create new problems for electrical utilities planners and engineers. One such issue, which has been studied recently, is how to measure, test, and manage load rejection overvoltage. This phenomenon takes place upon sudden islanding of a power system area such that it becomes supported by grid-following inverter-based resources only. This paper presents background, practical methods to test the behavior, as well as two case studies of utility-scale generation and energy storage connected to a distribution feeder.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579004","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102716
M. Arifujjaman, R. Salas, A. Johnson, J. Araiza, F. Elyasichamazkoti, A. Momeni, Shadi Chuangpishit, F. Katiraei
The significant growth in the integration of distributed energy sources (DERs) and the interactive behaviors between inverter controllers and protection system draws up considerable challenges. Their validation and adoption require careful assessment in modeling, simulation, and testing. The traditional approach focusing on a detailed model, while substantially simplifying the remainder of the system under test, is no longer sufficient. Real-time simulation and Power Hardware-in-the-Loop (PHIL) techniques emerge as indispensable tools for validating the behavior of Photovoltaic (PV) inverters and their impact/interaction on/with the feeder protection system. This paper aims to describe a detailed the development, demonstration, and validation of a PHIL testbed for Distributed Energy Resource (DER) integration that encompasses the test setup architecture, hardware components, software systems, communications, and integration. Ultimately, the result of performance validation of the developed testbed at the Sothern California Edison (SCE) test facility is presented for a test scenario as an example.
{"title":"Development, Demonstration, and Validation of Power Hardware-in-the-loop (PHIL) Testbed for DER Dynamics Integration in Southern California Edison (SCE)","authors":"M. Arifujjaman, R. Salas, A. Johnson, J. Araiza, F. Elyasichamazkoti, A. Momeni, Shadi Chuangpishit, F. Katiraei","doi":"10.1109/GridEdge54130.2023.10102716","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102716","url":null,"abstract":"The significant growth in the integration of distributed energy sources (DERs) and the interactive behaviors between inverter controllers and protection system draws up considerable challenges. Their validation and adoption require careful assessment in modeling, simulation, and testing. The traditional approach focusing on a detailed model, while substantially simplifying the remainder of the system under test, is no longer sufficient. Real-time simulation and Power Hardware-in-the-Loop (PHIL) techniques emerge as indispensable tools for validating the behavior of Photovoltaic (PV) inverters and their impact/interaction on/with the feeder protection system. This paper aims to describe a detailed the development, demonstration, and validation of a PHIL testbed for Distributed Energy Resource (DER) integration that encompasses the test setup architecture, hardware components, software systems, communications, and integration. Ultimately, the result of performance validation of the developed testbed at the Sothern California Edison (SCE) test facility is presented for a test scenario as an example.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129181031","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102727
Kyle A. Skeen, G. Venayagamoorthy
Microgrids are a promising technology to achieve the sustainability goals set by the UN to fight against climate change, create affordable and clean energy, sustainable cities and communities, and economic growth by creating a reliable, resilient, green power infrastructure. There are limitations to the benefits that microgrids can provide. To overcome the limitations and bolster the benefits of individual microgrids, they can be interconnected, creating a network of microgrids (NoMs). NoMs have many benefits that individual microgrids cannot accomplish, such as participating in power interchange between connected microgrids and the utility grid. This will increase reliability and resiliency and create economic benefits for the participants of NoMs. Challenges exist in NoMs, including data analysis, communication, and cyber-security to operations and management of the NoMs. This paper will go over the benefits that NoMs can provide and the challenges currently being researched in academia.
{"title":"Network of Microgrids: Opportunities and Challenges","authors":"Kyle A. Skeen, G. Venayagamoorthy","doi":"10.1109/GridEdge54130.2023.10102727","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102727","url":null,"abstract":"Microgrids are a promising technology to achieve the sustainability goals set by the UN to fight against climate change, create affordable and clean energy, sustainable cities and communities, and economic growth by creating a reliable, resilient, green power infrastructure. There are limitations to the benefits that microgrids can provide. To overcome the limitations and bolster the benefits of individual microgrids, they can be interconnected, creating a network of microgrids (NoMs). NoMs have many benefits that individual microgrids cannot accomplish, such as participating in power interchange between connected microgrids and the utility grid. This will increase reliability and resiliency and create economic benefits for the participants of NoMs. Challenges exist in NoMs, including data analysis, communication, and cyber-security to operations and management of the NoMs. This paper will go over the benefits that NoMs can provide and the challenges currently being researched in academia.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128653017","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102722
Shishir Shekhar, Shashwat Shekhar
Each year, millions of people and thousands of businesses are impacted by underground cable system failures. Underground cables are considered critical equipment within any power system, and typically one of the most expensive components of the system to repair. When they fail, the customer impact is immense and has the potential to cause severe collateral damage or worse, public safety concerns. Replacing underground power cables can be very expensive and time consuming and can take months or even years when associated with significant design, civil and construction work. Over 99% of solid dielectric (i.e.: XLPE or EPR) cable system failures are associated to Partial Discharge (PD). This paper characterizes the waveforms of Partial Discharge (PD) time domain signals utilizing a unique dataset of measured conditions of underground power cable systems. Machine Learning and Deep Learning models have been developed and evaluated for the purposes of providing the foundation for automated condition monitoring and predictive maintenance. The results demonstrate a step towards a predictive maintenance approach for underground cable systems.
{"title":"Improving Utility Cables Diagnostics and Prognostics using Machine Learning","authors":"Shishir Shekhar, Shashwat Shekhar","doi":"10.1109/GridEdge54130.2023.10102722","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102722","url":null,"abstract":"Each year, millions of people and thousands of businesses are impacted by underground cable system failures. Underground cables are considered critical equipment within any power system, and typically one of the most expensive components of the system to repair. When they fail, the customer impact is immense and has the potential to cause severe collateral damage or worse, public safety concerns. Replacing underground power cables can be very expensive and time consuming and can take months or even years when associated with significant design, civil and construction work. Over 99% of solid dielectric (i.e.: XLPE or EPR) cable system failures are associated to Partial Discharge (PD). This paper characterizes the waveforms of Partial Discharge (PD) time domain signals utilizing a unique dataset of measured conditions of underground power cable systems. Machine Learning and Deep Learning models have been developed and evaluated for the purposes of providing the foundation for automated condition monitoring and predictive maintenance. The results demonstrate a step towards a predictive maintenance approach for underground cable systems.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124331607","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102733
Weixi Wang, Robert Flores, G. Razeghi, J. Brouwer
Building electrification, vehicle electrification, and renewable distributed energy resources (DER) are all viewed as key technologies for reducing greenhouse gas and pollutant emissions. However, the added electrification may stress, damage infrastructure, and result in early replacement of electrical distribution system components. Conversely, DER may alleviate infrastructure strain, resulting in lower overall costs through delayed infrastructure repairs and upgrades. Regardless, the effect of electrification and high use of renewable DER are generally addressed qualitatively, not quantitatively. This paper presents a method to quantify the effects of electrification, DER, and other emerging clean energy technologies on local electric distribution infrastructure. This is accomplished by predicting the degradation of distribution transformers and power cables, followed by the optimal resizing of electric components such that cost is minimized. The method is demonstrated for two scenarios where the buildings and vehicles across a small community are electrified, resulting in accelerated distribution infrastructure degradation and replacement.
{"title":"Quantifying Transformer and Cable Degradation in Highly Renewable Electric Distribution Circuits","authors":"Weixi Wang, Robert Flores, G. Razeghi, J. Brouwer","doi":"10.1109/GridEdge54130.2023.10102733","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102733","url":null,"abstract":"Building electrification, vehicle electrification, and renewable distributed energy resources (DER) are all viewed as key technologies for reducing greenhouse gas and pollutant emissions. However, the added electrification may stress, damage infrastructure, and result in early replacement of electrical distribution system components. Conversely, DER may alleviate infrastructure strain, resulting in lower overall costs through delayed infrastructure repairs and upgrades. Regardless, the effect of electrification and high use of renewable DER are generally addressed qualitatively, not quantitatively. This paper presents a method to quantify the effects of electrification, DER, and other emerging clean energy technologies on local electric distribution infrastructure. This is accomplished by predicting the degradation of distribution transformers and power cables, followed by the optimal resizing of electric components such that cost is minimized. The method is demonstrated for two scenarios where the buildings and vehicles across a small community are electrified, resulting in accelerated distribution infrastructure degradation and replacement.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121969799","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102737
Wenzong Wang, A. Huque
Grid-forming (GFM) inverter, which can regulate voltage and frequency independently, is a key component in an inverter-based microgrid. However, an industry acceptable consistent and uniform method of defining the functions and performance requirements for GFM inverters in microgrid is presently lacking. As a result, utility planners constantly face the challenge of defining these requirements by themselves in contractual agreements with plant developers.This paper presents initial investigation results towards developing the performance requirements for a GFM inverter based power plant in a microgrid. Specifically, the requirements related to steady state voltage regulation are developed based on detailed simulation studies on a real microgrid. The need and benefits for a grid-forming inverter based power plant to regulate the voltage magnitude, balance the three-phase voltages and regulate voltage harmonics inside the microgrid are shown. The results are expected to assist distribution utility planners in developing detailed performance requirements for GFM inverter based power plants in microgrid projects.
{"title":"Steady State Voltage Regulation Requirements for Grid-Forming Inverter based Power Plant in Microgrid Applications","authors":"Wenzong Wang, A. Huque","doi":"10.1109/GridEdge54130.2023.10102737","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102737","url":null,"abstract":"Grid-forming (GFM) inverter, which can regulate voltage and frequency independently, is a key component in an inverter-based microgrid. However, an industry acceptable consistent and uniform method of defining the functions and performance requirements for GFM inverters in microgrid is presently lacking. As a result, utility planners constantly face the challenge of defining these requirements by themselves in contractual agreements with plant developers.This paper presents initial investigation results towards developing the performance requirements for a GFM inverter based power plant in a microgrid. Specifically, the requirements related to steady state voltage regulation are developed based on detailed simulation studies on a real microgrid. The need and benefits for a grid-forming inverter based power plant to regulate the voltage magnitude, balance the three-phase voltages and regulate voltage harmonics inside the microgrid are shown. The results are expected to assist distribution utility planners in developing detailed performance requirements for GFM inverter based power plants in microgrid projects.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114692815","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102712
Maitha Al Shimmari, D. Wallom
High-quality short-term load forecasting, particularly day-ahead, is essential to enable the demand response aggregator’s participation in the electricity market. The accuracy of load forecasting depends on many factors, including the size and quality of historical data, selection of the forecasting model, availability of weather data, and types of business sectors. This paper implements three state-of-the-art regression models, ridge regression (RR), random forests (RF), and gradient boosting (GB) to capture intricate variations in three UK cities (Newcastle, Peterborough, and Sheffield) in five business sectors (retail, entertainment, social, industrial, and other) from the UK non-domestic electricity load profiles and provide accurate day-ahead load forecasting. The models are implemented on a historical dataset that contains 7527 UK businesses with geographical postal codes, 30-min electricity consumption, and weather metrics. The performance is evaluated using the coefficient of determination R-squared. The presented results show that GB outperforms RF and RR as it provides the most accurate forecasting results, with limited improvement in forecasting results by including weather data. The aggregated business sectors’ forecasting accuracy is higher than individual business sectors’ forecasts.
{"title":"Short-term load forecasting using UK non-domestic businesses to enable demand response aggregators’ participation in electricity markets","authors":"Maitha Al Shimmari, D. Wallom","doi":"10.1109/GridEdge54130.2023.10102712","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102712","url":null,"abstract":"High-quality short-term load forecasting, particularly day-ahead, is essential to enable the demand response aggregator’s participation in the electricity market. The accuracy of load forecasting depends on many factors, including the size and quality of historical data, selection of the forecasting model, availability of weather data, and types of business sectors. This paper implements three state-of-the-art regression models, ridge regression (RR), random forests (RF), and gradient boosting (GB) to capture intricate variations in three UK cities (Newcastle, Peterborough, and Sheffield) in five business sectors (retail, entertainment, social, industrial, and other) from the UK non-domestic electricity load profiles and provide accurate day-ahead load forecasting. The models are implemented on a historical dataset that contains 7527 UK businesses with geographical postal codes, 30-min electricity consumption, and weather metrics. The performance is evaluated using the coefficient of determination R-squared. The presented results show that GB outperforms RF and RR as it provides the most accurate forecasting results, with limited improvement in forecasting results by including weather data. The aggregated business sectors’ forecasting accuracy is higher than individual business sectors’ forecasts.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132183831","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102745
J. Acken, Naresh Sehgal, D. Bansal, R. Bass
The present state of edge computing is an environment of different computing capabilities connected via a wide variety of communication paths. The energy grid is relying upon distributed energy devices connected at the edge of the internet. Consider the scenario where each edge device is customer-owned distributed energy resource (DER) that is connected via a trustworthy link to a grid service provider. Each DER keeps a local simple trust record of interactions. Information protection is provided by internet https standards, however, trust must be evaluated throughout operation. This paper presents a model for representing and evaluating trust in general and applied to the energy grid as a key example. Actors on the edge may interact with each other as well as with a central datacenter.
{"title":"Security and Trust Metrics for Edge Computing","authors":"J. Acken, Naresh Sehgal, D. Bansal, R. Bass","doi":"10.1109/GridEdge54130.2023.10102745","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102745","url":null,"abstract":"The present state of edge computing is an environment of different computing capabilities connected via a wide variety of communication paths. The energy grid is relying upon distributed energy devices connected at the edge of the internet. Consider the scenario where each edge device is customer-owned distributed energy resource (DER) that is connected via a trustworthy link to a grid service provider. Each DER keeps a local simple trust record of interactions. Information protection is provided by internet https standards, however, trust must be evaluated throughout operation. This paper presents a model for representing and evaluating trust in general and applied to the energy grid as a key example. Actors on the edge may interact with each other as well as with a central datacenter.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880705","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102740
A. Soofi, Reza Bayani, Mehrdad Yazdanibiouki, Saeed D. Manshadi
The accessibility of real-time operational data along with breakthroughs in processing power have promoted the use of Machine Learning (ML) applications in current power systems. Prediction of device failures, meteorological data, system outages, and demand are among the applications of ML in the electricity grid. In this paper, a Reinforcement Learning (RL) method is utilized to design an efficient energy management system for grid-tied Energy Storage Systems (ESS). We implement a Deep Q-Learning (DQL) approach using Artificial Neural Networks (ANN) to design a microgrid controller system simulated in the PSCAD environment. The proposed on-grid controller coordinates the main grid, aggregated loads, renewable generations, and Advanced Energy Storage (AES). To reduce the cost of operating AESs, the designed controller takes the hourly energy market price into account in addition to physical system characteristics.
{"title":"Training A Deep Reinforcement Learning Agent for Microgrid Control using PSCAD Environment","authors":"A. Soofi, Reza Bayani, Mehrdad Yazdanibiouki, Saeed D. Manshadi","doi":"10.1109/GridEdge54130.2023.10102740","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102740","url":null,"abstract":"The accessibility of real-time operational data along with breakthroughs in processing power have promoted the use of Machine Learning (ML) applications in current power systems. Prediction of device failures, meteorological data, system outages, and demand are among the applications of ML in the electricity grid. In this paper, a Reinforcement Learning (RL) method is utilized to design an efficient energy management system for grid-tied Energy Storage Systems (ESS). We implement a Deep Q-Learning (DQL) approach using Artificial Neural Networks (ANN) to design a microgrid controller system simulated in the PSCAD environment. The proposed on-grid controller coordinates the main grid, aggregated loads, renewable generations, and Advanced Energy Storage (AES). To reduce the cost of operating AESs, the designed controller takes the hourly energy market price into account in addition to physical system characteristics.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129241317","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 : 2023-04-10DOI: 10.1109/GridEdge54130.2023.10102704
H. Borland, M. Mccormack
Regardless of how the Grid Edge is perceived, grid users and the society it serves, demand a grid that is safe, reliable and efficient. This goes far beyond the physical ‘grid edge’ and permeates the totality of the distribution system in particular. Earth faults at Medium Voltage have a great impact on safety and reliability. In this paper, the selection of compensated neutral treatment is shown to provide optimized performance. Augmentation with Faulted Phase Earthing or Augmented Residual Current Compensation adds further to the safety performance. This is advantageous in high-risk areas and in wildfire mitigation. Efficiency in returning supply to customers after outages is addressed, including the use of Synchronised Line Monitoring. This paper presents fundamental solutions to deliver safety, reliability and efficiency at and beyond the Grid Edge.
{"title":"Safety, Reliability and Efficiency – beyond the grid edge","authors":"H. Borland, M. Mccormack","doi":"10.1109/GridEdge54130.2023.10102704","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102704","url":null,"abstract":"Regardless of how the Grid Edge is perceived, grid users and the society it serves, demand a grid that is safe, reliable and efficient. This goes far beyond the physical ‘grid edge’ and permeates the totality of the distribution system in particular. Earth faults at Medium Voltage have a great impact on safety and reliability. In this paper, the selection of compensated neutral treatment is shown to provide optimized performance. Augmentation with Faulted Phase Earthing or Augmented Residual Current Compensation adds further to the safety performance. This is advantageous in high-risk areas and in wildfire mitigation. Efficiency in returning supply to customers after outages is addressed, including the use of Synchronised Line Monitoring. This paper presents fundamental solutions to deliver safety, reliability and efficiency at and beyond the Grid Edge.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130723040","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：