Please use this identifier to cite or link to this item:
Title: An efficient framework for adequacy evaluation through extraction of rare load curtailment events in composite power systems
Authors: Menaem, A. A.
Valiev, R.
Oboskalov, V.
Hassan, T. S.
Rezk, H.
Ibrahim, M. N.
Issue Date: 2020
Publisher: MDPI AG
Citation: An efficient framework for adequacy evaluation through extraction of rare load curtailment events in composite power systems / A. A. Menaem, R. Valiev, V. Oboskalov, et al. — DOI 10.3390/math8112021 // Mathematics. — 2020. — Vol. 8. — Iss. 11. — P. 1-21. — 2021.
Abstract: With the growing robustness of modern power systems, the occurrence of load curtailment events is becoming lower. Hence, the simulation of these events constitutes a challenge in adequacy indices assessment. Due to the rarity of the load curtailment events, the standard Monte Carlo simulation (MCS) estimator of adequacy indices is not practical. Therefore, a framework based on the enhanced cross-entropy-based importance sampling (ECE-IS) method is introduced in this paper for computing the adequacy indices. The framework comprises two stages. Using the proposed ECE-IS method, the first stage’s purpose is to identify the samples or states of the nodal generation and load that are greatly significant to the adequacy indices estimators. In the second stage, the density of the input variables’ conditional on the load curtailment domain obtained by the first stage are used to compute the nodal and system adequacy indices. The performance of the ECE-IS method is verified through a comparison with the standard MCS method and the recent techniques of rare events simulation in literature. The results confirm that the proposed method develops an accurate estimation for the nodal and system adequacy indices (loss of load probability (LOLP), expected power not supplied (EPNS)) with appropriate convergence value and low computation time. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85096118507
PURE ID: 20137503
ISSN: 22277390
DOI: 10.3390/math8112021
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85096118507.pdf4,46 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.