Study of different ANN algorithms for voltage stability analysis

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dc.contributor.authorAydın, Faruk
dc.contributor.authorGümüş, Bilal
dc.date.accessioned2024-04-24T17:56:24Z
dc.date.available2024-04-24T17:56:24Z
dc.date.issued2020
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.description2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- -- 165305en_US
dc.description.abstractNowadays, voltage instability and voltage collapse have become the main issues studied in electrical power systems. The determination of the voltage security of a power system is not an easy task. It is a complex process which consumes a lot of time. In this paper, it was shown that Artificial Neural Network (ANN) can achieve the same results with high accuracy and quickly as conventional voltage stability calculation methods. For this purpose, loading parameter and Voltage Stability Margin Index (VSMI) were calculated using 8 different input variables and 14 different training functions. The proposed approach was carried out using the Power System Analysis Toolbox (PSAT) in MATLAB in the IEEE 57-bus test system. In the voltage stability problem, the most suitable parameters to be used in ANN have been found and the results of the application are promising. © 2020 IEEE.en_US
dc.identifier.citationAydın, F. ve Gümüş, B. (2020). Study of different ANN algorithms for voltage stability analysis. Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020.
dc.identifier.doi10.1109/ASYU50717.2020.9259817
dc.identifier.isbn9781728191362
dc.identifier.scopus2-s2.0-85097964899
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259817
dc.identifier.urihttps://hdl.handle.net/11468/23495
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectContinuation Power Flowen_US
dc.subjectTraining Functionsen_US
dc.subjectVoltage Stabilityen_US
dc.titleStudy of different ANN algorithms for voltage stability analysisen_US
dc.titleStudy of different ANN algorithms for voltage stability analysis
dc.typeConference Objecten_US

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