Efficient Estimation of Interrupted Energy with Time-Varying Load Models for Distribution Systems Planning Studies

Nazmul Huda, Rastko Zivanovic

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

3 Zitate (Scopus)

Abstract

In electric power distribution systems planning studies, significant computational challenge is introduced when estimating customer interrupted energy which is generally referred as Expected Energy Not Supplied (EENS) index. In this paper, a computationally efficient technique for calculating EENS by considering time-varying load models (TVLM) is presented. The proposed technique is based on an advanced Monte Carlo (MC) method called the Multilevel Monte Carlo (MLMC), coupled with the Euler-Maruyama discretisation scheme for numerical solution of stochastic differential equation (SDE). In the traditional planning practice, an average constant load for a specific customer type is utilized in EENS estimation by ignoring different customer sectors TVLM. The proposed improvement of the practice is to consider typical daily load curves of different sectors to achieve better accuracy in the estimation of EENS. The proposed method is applied to the benchmark Roy Billinton Test System (RBTS) consisting of networks with five load buses and seven different customer sectors. The results show that the distribution systems with different load models produce dissimilar results. Also, the proposed method produces almost the same results as MC method and it is several times faster than original MC method.

OriginalspracheEnglisch
Titel9th Vienna International Conference on Mathematical Modelling
Seiten208-213
Seitenumfang6
Band51
Auflage2
DOIs
PublikationsstatusVeröffentlicht - 1 Jän 2018
Veranstaltunghttp://www.mathmod.at/ - Vienna, Österreich
Dauer: 21 Feb 201823 Feb 2018
http://www.mathmod.at/

Publikationsreihe

NameIFAC-PapersOnLine

Konferenz

Konferenzhttp://www.mathmod.at/
LandÖsterreich
OrtVienna
Zeitraum21.02.201823.02.2018
Internetadresse

Fingerprint Untersuchen Sie die Forschungsthemen von „Efficient Estimation of Interrupted Energy with Time-Varying Load Models for Distribution Systems Planning Studies“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren