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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/34690
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dc.contributor.authorDimishkovska Krsteski, Natashaen_US
dc.contributor.authorIliev, Atanasen_US
dc.date.accessioned2026-01-28T11:05:13Z-
dc.date.available2026-01-28T11:05:13Z-
dc.date.issued2020-06-01-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/34690-
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>Proper operation of the power substations is of great importance for power network reliability, stability and uninterrupted power supply. Distributed generation provides higher reliability in power supply, but still, there are contingencies in the electric power production and supply process, which lead to outages in the power supply. In this paper, a method for substations’ reliability estimation with distributed generation is presented based on Markov Chain Monte Carlo method. The method considers the possible substation operation states and using random number generator in MATLAB, it simulates faults and calculates the substations’ reliability. The method is demonstrated on two cases of 110/35 kV substations, each consisting of two transformers and distributed generator, analysing the best placement for the distributed generation.</jats:p>en_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofIOP Conference Series: Materials Science and Engineeringen_US
dc.titleDistributed generation placement in distributive substations analysis using Markov Chain Monte Carlo model considering the reliability of power supplyen_US
dc.typeArticleen_US
dc.identifier.doi10.1088/1757-899x/878/1/012013-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013/pdf-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013/pdf-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013/pdf-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013/pdf-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/878/1/012013/pdf-
dc.identifier.volume878-
dc.identifier.issue1-
dc.identifier.fpage012013-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Electrical Engineering and Information Technologies-
crisitem.author.deptFaculty of Electrical Engineering and Information Technologies-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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Natasha Dimishkovska, Atanas Iliev- DISTRIBUTED GENERATION PLACEMENT IN DISTRIBUTIVE SUBSTATIONS ANALYSIS USING MARKOV CHAIN MONTE CARLO MODEL CONSIDERING RELIABILITY OF POWER SUPPLY.pdf518.35 kBAdobe PDFView/Open
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