Analytical reliability evaluation method of smart micro-grids considering the cyber failures and information transmission system faults

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965800" target="_blank" >RIV/49777513:23220/22:43965800 - isvavai.cz</a>

Result on the web

<a href="https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.12541" target="_blank" >https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.12541</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/rpg2.12541" target="_blank" >10.1049/rpg2.12541</a>

Result language

angličtina

Original language name

Analytical reliability evaluation method of smart micro-grids considering the cyber failures and information transmission system faults

Original language description

The reliability of smart micro-grids (SMGs), as a cyber-physical system (CPS), might be influenced by cyber failures and information transmission faults. Several Monte Carlo simulation (MCS)-based approaches have been reported to assess the reliability of SMGs and smart grids. On the other hand, analytical reliability assessment methods have been presented in some research works, while the cyber system has not been concerned. However, the literature shows a research gap in developing an accurate and fast reliability evaluation method for SMGs based on the unavailability of cyber elements and information transmission faults. This article tries to fill the discussed gap by adding the analytical modelling of cyber-physical interdependencies and information transmission faults to available analytical methods, focusing on physical uncertainties. Comparing the proposed model with existing MCS-based and analytical reliability evaluation methods illustrates the advantages of this research. Test results show that less than 5.7% expected energy not supplied (EENS) error occurs by the proposed method, which would be much faster than MCS-based ones. Moreover, the sensitivity analyses highlight the impacts of the cyber network topologies on the cyber-physical interdependencies. © 2022 The Authors. IET Renewable Power Generation published by John Wiley &amp; Sons Ltd on behalf of The Institution of Engineering and Technology.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IET Renewable Power Generation

ISSN

1752-1416

e-ISSN

1752-1424

Volume of the periodical

16

Issue of the periodical within the volume

13

Country of publishing house

GB - UNITED KINGDOM

Number of pages

24

Pages from-to

2816-2839

UT code for WoS article

000821059000001

EID of the result in the Scopus database

2-s2.0-85133449954