Cyber–physical perspective on smart grid design and operation
Abstract
Emerging computation and communication technologies ubiquitously deployed in smart grids introduce unprecedented opportunities by enabling vigorous development of innovative business models and applications that aim for improving system efficiency, reliability, resiliency, and interoperability. Smart grids are typical cyber-physical systems (CPSs). The heterogeneous and complex nature of smart grids presents significant challenges introduced by the tight coupling of computation, communication, and physical systems. In this paper, we first provide an overview of smart grids from a CPS perspective. Then, we discuss the opportunities and challenges in smart grid design and operation. Next, a co-design framework is introduced and used for designing wide-area damping controller (WADC) as one of many CPS applications that can be abstracted from various power system layers. We conclude that developing a theoretical modelling framework is critical for understanding and managing the complexity and interoperability of smart grids.
- Authors:
-
- Energy Systems DivisionArgonne National LaboratoryArgonneILUSA
- Department of Electrical EngineeringSouthern Methodist UniversityDallasTXUSA
- Department of Electrical and Computer EngineeringIllinois Institute of TechnologyDallasTXUSA
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1760083
- Alternate Identifier(s):
- OSTI ID: 1491802; OSTI ID: 1786707
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Journal Article: Published Article
- Journal Name:
- IET Cyber-Physical Systems: Theory & Applications
- Additional Journal Information:
- Journal Name: IET Cyber-Physical Systems: Theory & Applications Journal Volume: 3 Journal Issue: 3; Journal ID: ISSN 2398-3396
- Publisher:
- Institution of Engineering and Technology (IET)
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 42 ENGINEERING; 24 POWER TRANSMISSION AND DISTRIBUTION
Citation Formats
Chen, Bo, Wang, Jianhui, and Shahidehpour, Mohammad. Cyber–physical perspective on smart grid design and operation. United Kingdom: N. p., 2018.
Web. doi:10.1049/iet-cps.2017.0143.
Chen, Bo, Wang, Jianhui, & Shahidehpour, Mohammad. Cyber–physical perspective on smart grid design and operation. United Kingdom. https://doi.org/10.1049/iet-cps.2017.0143
Chen, Bo, Wang, Jianhui, and Shahidehpour, Mohammad. 2018.
"Cyber–physical perspective on smart grid design and operation". United Kingdom. https://doi.org/10.1049/iet-cps.2017.0143.
@article{osti_1760083,
title = {Cyber–physical perspective on smart grid design and operation},
author = {Chen, Bo and Wang, Jianhui and Shahidehpour, Mohammad},
abstractNote = {Emerging computation and communication technologies ubiquitously deployed in smart grids introduce unprecedented opportunities by enabling vigorous development of innovative business models and applications that aim for improving system efficiency, reliability, resiliency, and interoperability. Smart grids are typical cyber-physical systems (CPSs). The heterogeneous and complex nature of smart grids presents significant challenges introduced by the tight coupling of computation, communication, and physical systems. In this paper, we first provide an overview of smart grids from a CPS perspective. Then, we discuss the opportunities and challenges in smart grid design and operation. Next, a co-design framework is introduced and used for designing wide-area damping controller (WADC) as one of many CPS applications that can be abstracted from various power system layers. We conclude that developing a theoretical modelling framework is critical for understanding and managing the complexity and interoperability of smart grids.},
doi = {10.1049/iet-cps.2017.0143},
url = {https://www.osti.gov/biblio/1760083},
journal = {IET Cyber-Physical Systems: Theory & Applications},
issn = {2398-3396},
number = 3,
volume = 3,
place = {United Kingdom},
year = {Fri Jul 20 00:00:00 EDT 2018},
month = {Fri Jul 20 00:00:00 EDT 2018}
}
Figures / Tables:
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