Resilience of the Electric Grid through Trustable IoT-Coordinated Assets (Extended version)

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I whakaputaina i:arXiv.org (Dec 19, 2024), p. n/a
Kaituhi matua: Nair, Vineet J
Ētahi atu kaituhi: Venkataramanan, Venkatesh, Srivastava, Priyank, Sarker, Partha S, Srivastava, Anurag, Marinovici, Laurentiu D, Zha, Jun, Irwin, Christopher, Mittal, Prateek, Williams, John, Kumar, Jayant, Poor, H Vincent, Annaswamy, Anuradha M
I whakaputaina:
Cornell University Library, arXiv.org
Ngā marau:
Urunga tuihono:Citation/Abstract
Full text outside of ProQuest
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022 |a 2331-8422 
035 |a 3071629728 
045 0 |b d20241219 
100 1 |a Nair, Vineet J 
245 1 |a Resilience of the Electric Grid through Trustable IoT-Coordinated Assets (Extended version) 
260 |b Cornell University Library, arXiv.org  |c Dec 19, 2024 
513 |a Working Paper 
520 3 |a The electricity grid has evolved from a physical system to a cyber-physical system with digital devices that perform measurement, control, communication, computation, and actuation. The increased penetration of distributed energy resources (DERs) including renewable generation, flexible loads, and storage provides extraordinary opportunities for improvements in efficiency and sustainability. However, they can introduce new vulnerabilities in the form of cyberattacks, which can cause significant challenges in ensuring grid resilience. We propose a framework in this paper for achieving grid resilience through suitably coordinated assets including a network of Internet of Things (IoT) devices. A local electricity market is proposed to identify trustable assets and carry out this coordination. Situational Awareness (SA) of locally available DERs with the ability to inject power or reduce consumption is enabled by the market, together with a monitoring procedure for their trustability and commitment. With this SA, we show that a variety of cyberattacks can be mitigated using local trustable resources without stressing the bulk grid. Multiple demonstrations are carried out using a high-fidelity co-simulation platform, real-time hardware-in-the-loop validation, and a utility-friendly simulator. 
653 |a Situational awareness 
653 |a Actuation 
653 |a Electric power grids 
653 |a Internet of Things 
653 |a Energy sources 
653 |a Resilience 
653 |a Cyber-physical systems 
653 |a Real time 
653 |a Hardware-in-the-loop simulation 
653 |a Power consumption 
653 |a Electricity distribution 
700 1 |a Venkataramanan, Venkatesh 
700 1 |a Srivastava, Priyank 
700 1 |a Sarker, Partha S 
700 1 |a Srivastava, Anurag 
700 1 |a Marinovici, Laurentiu D 
700 1 |a Zha, Jun 
700 1 |a Irwin, Christopher 
700 1 |a Mittal, Prateek 
700 1 |a Williams, John 
700 1 |a Kumar, Jayant 
700 1 |a Poor, H Vincent 
700 1 |a Annaswamy, Anuradha M 
773 0 |t arXiv.org  |g (Dec 19, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3071629728/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2406.14861