Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103340
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dc.contributor.authorMenaem, A. A.en
dc.contributor.authorValiev, R.en
dc.contributor.authorOboskalov, V.en
dc.contributor.authorHassan, T. S.en
dc.contributor.authorRezk, H.en
dc.contributor.authorIbrahim, M. N.en
dc.date.accessioned2021-08-31T15:09:04Z-
dc.date.available2021-08-31T15:09:04Z-
dc.date.issued2020-
dc.identifier.citationAn 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.en
dc.identifier.issn22277390-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85096118507&doi=10.3390%2fmath8112021&partnerID=40&md5=3e58c87316b18aee3ed14eba6d7b2b1c
dc.identifier.otherhttps://www.mdpi.com/2227-7390/8/11/2021/pdfm
dc.identifier.urihttp://hdl.handle.net/10995/103340-
dc.description.abstractWith 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.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPI AGen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceMathematics2
dc.sourceMathematicsen
dc.subjectCROSS ENTROPY METHODen
dc.subjectIMPORTANCE SAMPLING TECHNIQUEen
dc.subjectPOWER SYSTEM ADEQUACYen
dc.subjectRARE EVENTS SIMULATIONen
dc.titleAn efficient framework for adequacy evaluation through extraction of rare load curtailment events in composite power systemsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/math8112021-
dc.identifier.scopus85096118507-
local.contributor.employeeMenaem, A.A., Electrical Engineering Department, Mansoura University, Mansoura, 35516, Egypt, Department of Automated Electric Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeValiev, R., Department of Automated Electric Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeOboskalov, V., Department of Automated Electric Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federation, SEC «Reliability and Safety of Large Systems and Machines» UB RAS, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeHassan, T.S., Department of Mathematics, Faculty of Science, University of Ha’il, Ha’il, 2440, Saudi Arabia, Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt
local.contributor.employeeRezk, H., College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia, Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt
local.contributor.employeeIbrahim, M.N., Electrical Engineering Department, Kafrelshiekh University, Kafr El-Sheikh, 33511, Egypt, Department of Electromechanical, Systems and Metal Engineering, Ghent University, Ghent, 9000, Belgium, FlandersMake@UGent–corelab EEDT-MP, Leuven, 3001, Belgium
local.description.firstpage1-
local.description.lastpage21-
local.issue11-
local.volume8-
local.contributor.departmentElectrical Engineering Department, Mansoura University, Mansoura, 35516, Egypt
local.contributor.departmentDepartment of Automated Electric Systems, Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentSEC «Reliability and Safety of Large Systems and Machines» UB RAS, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentDepartment of Mathematics, Faculty of Science, University of Ha’il, Ha’il, 2440, Saudi Arabia
local.contributor.departmentDepartment of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt
local.contributor.departmentCollege of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia
local.contributor.departmentElectrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt
local.contributor.departmentElectrical Engineering Department, Kafrelshiekh University, Kafr El-Sheikh, 33511, Egypt
local.contributor.departmentDepartment of Electromechanical, Systems and Metal Engineering, Ghent University, Ghent, 9000, Belgium
local.contributor.departmentFlandersMake@UGent–corelab EEDT-MP, Leuven, 3001, Belgium
local.identifier.pure20137503-
local.identifier.pure7c5e7435-d0a6-4e5f-bb2f-d948127ed97buuid
local.description.order2021-
local.identifier.eid2-s2.0-85096118507-
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