Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2228
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dc.contributor.authorKumar Ganivada, Phanindra-
dc.contributor.authorVenkaiah, Chintham-
dc.date.accessioned2024-12-30T09:50:49Z-
dc.date.available2024-12-30T09:50:49Z-
dc.date.issued2014-
dc.identifier.citation10.1109/ISEG.2014.7005594en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2228-
dc.descriptionNITWen_US
dc.description.abstractDistributed Generation (DG) plays significant role in improvement of radial distribution network (RDN). Optimal sizing and placement of DGs in RDN can improve the voltage profile and minimize real and reactive power losses. In this paper, the impact of placement of multiple DGs has been addressed to assess the performance of RDN. Teaching Learning Based Optimization Algorithm (TLBO) has been applied to determine both sizing and location of multiple DGs with an objective to minimize real power losses. It is shown that optimal sizing and placement of multiple DGs are better as compared to that of single DG placement. The simulations are carried out on standard 33 nodes RDN for comparative analysis.en_US
dc.language.isoenen_US
dc.publisher2014 International Conference on Smart Electric Grid, ISEG 2014en_US
dc.titleOptimal Sizing and Placement of Multiple Distributed Generators using Teaching Learning Based Optimization Algorithm in Radial Distributed Networken_US
dc.typeOtheren_US
Appears in Collections:Chemical Engineering



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