Resilience of the electric grid through trustable IoT-coordinated assets

V Vineet J. Nair (Department of Mechanical Engineering) P Priyank Srivastava (Department of Electrical Engineering) V Venkatesh Venkataramanan (National Renewable Energy Laboratory) P Partha S. Sarker (West Virginia University) A Anurag Srivastava (West Virginia University) L Laurentiu D. Marinovici (Pacific Northwest National Laboratory) J Jun Zha (Larsen & Toubro Digital Energy Solutions) C Christopher Irwin (Office of Electricity) P Prateek Mittal (Princeton University) J John Williams J Jayant Kumar (Larsen & Toubro Digital Energy Solutions) H H. Vincent Poor (Department of Electrical and Computer Engineering) A Anuradha M. Annaswamy (Department of Mechanical Engineering)

Abstract

The electricity grid has evolved from a physical system to a cyberphysical 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 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 cosimulation platform, real-time hardware-in-the-loop validation, and a utility-friendly simulator.

Article Details

Volume / Issue Vol. 122, Issue 8
Published February 25, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (13)

V

Vineet J. Nair

Department of Mechanical Engineering

P

Priyank Srivastava

Department of Electrical Engineering

V

Venkatesh Venkataramanan

National Renewable Energy Laboratory

P

Partha S. Sarker

West Virginia University

A

Anurag Srivastava

West Virginia University

L

Laurentiu D. Marinovici

Pacific Northwest National Laboratory

J

Jun Zha

Larsen & Toubro Digital Energy Solutions

C

Christopher Irwin

Office of Electricity

P

Prateek Mittal

Princeton University

J

John Williams

J

Jayant Kumar

Larsen & Toubro Digital Energy Solutions

H

H. Vincent Poor

Department of Electrical and Computer Engineering

A

Anuradha M. Annaswamy

Department of Mechanical Engineering