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Reliability Evaluation in Smart Grids Via Modified Monte Carlo Simulation Method

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dc.authorscopusid57193868250
dc.authorscopusid6603175851
dc.authorscopusid56826062200
dc.authorscopusid57193870627
dc.contributor.authorWadi, M.
dc.contributor.authorBaysal, M.
dc.contributor.authorShobole, A.
dc.contributor.authorTur, M.R.
dc.date.accessioned2025-02-15T19:38:15Z
dc.date.available2025-02-15T19:38:15Z
dc.date.issued2018
dc.departmentArtuklu Universityen_US
dc.department-tempWadi M., EEE Dept., Istanbul Sabahattin Zaim University, Istanbul, Turkey; Baysal M., Electrical Engineering Dept., Yildiz Technical University, Istanbul, Turkey; Shobole A., EEE Dept., Istanbul Sabahattin Zaim University, Istanbul, Turkey; Tur M.R., Electrical and Energy Department, Mardin Artuklu University, Mardin, Turkeyen_US
dc.descriptionIsahaya Electronics Corporation (IDC); TMEICen_US
dc.description.abstractOperation of closed-ring power distribution systems has various advantages over both meshed-operated and radially-operated systems. Closed-ring system unlike to radial system, the voltage drop is less, achieves high reliability of power on demand since the power is supplied from both ends, and reduces the voltage fluctuation in high loaded areas by using a tie power line. However, the reliability assessment of closed-ring power grids is not a trivial task. Monte Carlo Simulation (MCS) is one of the most famous methods to assess the availability of any power system. However, the most proposed methods are able to evaluate the reliability of radial and open-ring grids. This paper developed the best known MCS method to assess the reliability of closed-ring grids by integrating the total loss of continuity (TLOC) definition into the MCS. The developed method is called modified Monte Carlo Simulation (MMCS) method. The MMCS is tested by using Roy Billinton Test System (RBTS) buses 2 and 4. The obtained results confirm the correctness of the proposed method. Therefore, MMCS method is appropriate to assess the reliability of both simple and complicated closed-ring systems. © 2018 IEEE.en_US
dc.identifier.citationcount22
dc.identifier.doi10.1109/ICRERA.2018.8566982
dc.identifier.endpage845en_US
dc.identifier.isbn9781538659823
dc.identifier.scopus2-s2.0-85060658487
dc.identifier.scopusqualityN/A
dc.identifier.startpage841en_US
dc.identifier.urihttps://doi.org/10.1109/ICRERA.2018.8566982
dc.identifier.urihttps://hdl.handle.net/20.500.12514/6215
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 -- 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 -- 14 October 2018 through 17 October 2018 -- Paris -- 143564en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModified Monte Carlo Simulation Method (Mmcs)en_US
dc.subjectPower System Reliabilityen_US
dc.subjectSmart Power Grids Reliabilityen_US
dc.subjectTotal Loss Of Continuity (Tloc)en_US
dc.titleReliability Evaluation in Smart Grids Via Modified Monte Carlo Simulation Methoden_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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