Zobrazit minimální záznam

dc.contributor.authorAl Ameri, Ahmed
dc.contributor.authorNichita, Cristian
dc.date.accessioned2017-05-30T08:28:48Z
dc.date.available2017-05-30T08:28:48Z
dc.date.issued2017
dc.identifier.citationAdvances in electrical and electronic engineering. 2017, vol. 15, no. 1, p. 28-36 : ill.cs
dc.identifier.issn1336-1376
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/117094
dc.description.abstractThis article presents a linear model predicting optimal size of Distributed Generation (DG) that addresses the minimum power loss. This method is based fundamentally on strong coupling between active power and voltage angle as well as between reactive power and voltage magnitudes. This paper proposes simplified method to calculate the total power losses in electrical grid for different distributed generation sizes and locations. The method has been implemented and tested on several IEEE bus test systems. The results show that the proposed method is capable of predicting approximate optimal size of DG when compared with precision calculations. The method that linearizes a complex model showed a good result, which can actually reduce processing time required. The acceptable accuracy with less time and memory required can help the grid operator to assess power system integrated within large-scale distribution generationcs
dc.format.extent687369 bytes
dc.format.mimetypeapplication/pdf
dc.languageNeuvedenocs
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttp://dx.doi.org/10.15598/aeee.v15i1.2017
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectdistributed generationcs
dc.subjectlinear load flowcs
dc.subjectpower flow analysiscs
dc.subjectpower lossescs
dc.subjectsmart gridcs
dc.titleLinear model for optimal distributed generation size predicationcs
dc.typearticlecs
dc.identifier.doi10.15598/aeee.v15i1.2017
dc.rights.accessopenAccess
dc.type.versionpublishedVersion
dc.type.statusPeer-reviewed


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Zobrazit minimální záznam

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