Distribution system reliability assessment using sequential multilevel Monte Carlo method

A. S.N. Huda, Rastko Zivanovic

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

8 Zitate (Scopus)

Abstract

The paper proposes a new time sequential multilevel Monte Carlo (MLMC) method for estimating distribution system reliability. Usually, the reliability indices of a distribution system are accurately assessed by sequential Monte Carlo simulation (MCS). A disadvantage of sequential MCS is the computational burden which may be prohibitive for achieving a high accuracy. The aim of the proposed method is to enhance the computational efficiency of sequential MCS. The basic idea of MLMC is to use the stochastic differential equations (SDE) based approximation of the reliability indices with multiple timesteps. In MLMC method, a large number of simulations are performed on the coarse grid levels at a low cost and few on the fine grids at a high cost in such a way which can reduce the overall variance of the reliability indices estimators of MCS for the desired accuracy. Comparisons with the analytical and sequential MCS methods are carried out on a small distribution system to demonstrate the effectiveness of the proposed method. The results verify that the proposed method gives acceptable values of reliability indices by reducing their calculation time compared to sequential MCS.

OriginalspracheEnglisch
Titel2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
Herausgeber (Verlag)IEEE Computer Society
Seiten867-872
Seitenumfang6
ISBN (elektronisch)9781509043033
DOIs
PublikationsstatusVeröffentlicht - 22 Dez 2016
Extern publiziertJa
Veranstaltung2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australien
Dauer: 28 Nov 20161 Dez 2016

Publikationsreihe

NameIEEE PES Innovative Smart Grid Technologies Conference Europe

Konferenz

Konferenz2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
LandAustralien
OrtMelbourne
Zeitraum28.11.201601.12.2016

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