Reliability Evaluation of Cyber–Physical Power Systems Considering Supply- and Demand-Side Uncertainties

Lei Chen, Nan Zhao, Zihao Cheng and Wen Gu
Additional contact information
Lei Chen: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Nan Zhao: College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Zihao Cheng: School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, China
Wen Gu: School of Wisdom Education, Jiangsu Normal University, Xuzhou 221116, China

Energies, 2021, vol. 15, issue 1, 1-14

Abstract: To reach effective monitoring and control, a physical power grid couples with a communication network and evolves into cyber–physical power systems (CPPS), but this cyber–physical interdependence may exacerbate failure on the physical/cyber side and may turn into a cascading failure. Furthermore, distributed generators (DGs) and plug-in hybrid electric vehicles (PHEVs) introduced into CPPS add uncertainties to both the supply side and demand side of power energy. In this paper, we detail the model of CPPS and its coupling mechanism in operation and discuss the propagation mechanism of cascading failure within and across a physical power grid and a communication network. For uncertainties of power energy in the supply and demand sides, the generation and load of each day are divided into 24 time segments for modeling. In the case study, the well-being criteria and reliability indexes are employed to analyze the effect of DGs and cyber–physical interdependence on the reliability of CPPS when DGs suffer aging failure and cyber attacks, and the simulations indicate that introducing DGs can effectively enhance the period of healthy and marginal states. Furthermore, cyber attacks can sharply destroy the CPPS compared with aging failure.

Keywords: cyber–physical power systems; cascading failure; distributed generator; plug-in hybrid electric vehicles; uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/1/118/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/1/118/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2021:i:1:p:118-:d:710481

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().