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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

IET Renewable Power Generation

ISSN

1752-1416

e-ISSN

1752-1424

Svazek periodika

16

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

24

Strana od-do

2816-2839

Kód UT WoS článku

000821059000001

EID výsledku v databázi Scopus

2-s2.0-85133449954