Multilevel Monte Carlo simulation applied to distribution systems reliability evaluation

Nazmul Huda, Rastko Zivanovic

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

3 Zitate (Scopus)

Abstract

In this article, a novel multilevel Monte Carlo (MLMC) simulation approach is applied for large distribution systems reliability evaluation. Basic Monte Carlo simulation (MCS) can be effectively used in this purpose. However, main limitation of MCS is the huge computational cost when a large sample size is needed for a high accuracy. The MLMC method reduces the variance of MCS and speeds up its computational efficiency through combining simulations on multiple levels of resolution. The methodology is implemented through modelling the reliability indices using stochastic differential equations. The performance of the proposed method is analysed based on computation accuracy and time, and compared with analytical and MCS approaches. A benchmark distribution system of Roy Billinton Test System (RBTS) is used as test system. Discussions of the results obtained are presented in this paper.

OriginalspracheEnglisch
Titel2017 IEEE Manchester PowerTech, Powertech 2017
ISBN (elektronisch)9781509042371
DOIs
PublikationsstatusVeröffentlicht - 13 Jul 2017
Veranstaltung PowerTech, 2017 IEEE Manchester - Manchester, UK, Großbritannien/Vereinigtes Königreich
Dauer: 18 Jun 201722 Jun 2017
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7964294

Publikationsreihe

Name2017 IEEE Manchester PowerTech, Powertech 2017

Konferenz

Konferenz PowerTech, 2017 IEEE Manchester
LandGroßbritannien/Vereinigtes Königreich
OrtManchester, UK
Zeitraum18.06.201722.06.2017
Internetadresse

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