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Serverless computing for cloud-based power grid emergency generation dispatch

Operating a modern power grid reliably in case of SCADA/EMS failure or amid difficult times like COVID-19 pandemic is a challenging task for grid operators. In [11], a PMU-based emergency generation dispatch scheme has been proposed to help the system operators with the supply and demand balancing;...

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Detalles Bibliográficos
Autores principales: Zhang, Song, Luo, Xiaochuan, Litvinov, Eugene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377758/
http://dx.doi.org/10.1016/j.ijepes.2020.106366
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author Zhang, Song
Luo, Xiaochuan
Litvinov, Eugene
author_facet Zhang, Song
Luo, Xiaochuan
Litvinov, Eugene
author_sort Zhang, Song
collection PubMed
description Operating a modern power grid reliably in case of SCADA/EMS failure or amid difficult times like COVID-19 pandemic is a challenging task for grid operators. In [11], a PMU-based emergency generation dispatch scheme has been proposed to help the system operators with the supply and demand balancing; however, its realization highly relies on the control center infrastructure for computing and communication. This work, rather than using the on-premises server and dispatch communication system, proposes and implements a cloud-centric serverless architecture to ensure the operation continuity regardless of local infrastructure’s availability and accessibility. Through its prototype implementation and evaluation at ISO New England, the solution has demonstrated two major advantages. Firstly, the cloud infrastructure is independent and fault-tolerant, providing grid monitoring and control capability even when EMS loses the corresponding functionality or when operators need to work remotely away from the control center. Secondly, the overall design is event-driven using serverless cloud services in response to the SCADA/EMS failure event. Thanks to “serverless”, the burden of the server provisioning and maintenance can be avoided from the user side. The cost of using public cloud services for this solution is extremely low since it is architected and implemented based on the event-driven Function-as-a-Service (FaaS) model. This work also develops a comprehensive cyber security mechanism to comply with critical infrastructure requirements for the power grid, which can serve as an exemplary framework for other grid operators to secure their cloud services.
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spelling pubmed-73777582020-07-24 Serverless computing for cloud-based power grid emergency generation dispatch Zhang, Song Luo, Xiaochuan Litvinov, Eugene International Journal of Electrical Power & Energy Systems Article Operating a modern power grid reliably in case of SCADA/EMS failure or amid difficult times like COVID-19 pandemic is a challenging task for grid operators. In [11], a PMU-based emergency generation dispatch scheme has been proposed to help the system operators with the supply and demand balancing; however, its realization highly relies on the control center infrastructure for computing and communication. This work, rather than using the on-premises server and dispatch communication system, proposes and implements a cloud-centric serverless architecture to ensure the operation continuity regardless of local infrastructure’s availability and accessibility. Through its prototype implementation and evaluation at ISO New England, the solution has demonstrated two major advantages. Firstly, the cloud infrastructure is independent and fault-tolerant, providing grid monitoring and control capability even when EMS loses the corresponding functionality or when operators need to work remotely away from the control center. Secondly, the overall design is event-driven using serverless cloud services in response to the SCADA/EMS failure event. Thanks to “serverless”, the burden of the server provisioning and maintenance can be avoided from the user side. The cost of using public cloud services for this solution is extremely low since it is architected and implemented based on the event-driven Function-as-a-Service (FaaS) model. This work also develops a comprehensive cyber security mechanism to comply with critical infrastructure requirements for the power grid, which can serve as an exemplary framework for other grid operators to secure their cloud services. Elsevier Ltd. 2021-01 2020-07-23 /pmc/articles/PMC7377758/ http://dx.doi.org/10.1016/j.ijepes.2020.106366 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Zhang, Song
Luo, Xiaochuan
Litvinov, Eugene
Serverless computing for cloud-based power grid emergency generation dispatch
title Serverless computing for cloud-based power grid emergency generation dispatch
title_full Serverless computing for cloud-based power grid emergency generation dispatch
title_fullStr Serverless computing for cloud-based power grid emergency generation dispatch
title_full_unstemmed Serverless computing for cloud-based power grid emergency generation dispatch
title_short Serverless computing for cloud-based power grid emergency generation dispatch
title_sort serverless computing for cloud-based power grid emergency generation dispatch
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377758/
http://dx.doi.org/10.1016/j.ijepes.2020.106366
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