Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/7981
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSrikakulapu, R.-
dc.contributor.authorVinatha, U.-
dc.date.accessioned2020-03-30T10:03:15Z-
dc.date.available2020-03-30T10:03:15Z-
dc.date.issued2018-
dc.identifier.citationProceedings of 2018 IEEE International Conference on Power, Instrumentation, Control and Computing, PICC 2018, 2018, Vol., , pp.1-6en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7981-
dc.description.abstractThe wind turbine (WT) layout and electrical system layout plays a vital role in offshore wind farm (OWF) design. The wake effect has a significant impact on the power production of the OWF. WTs in wake region will not experience healthy wind; hence it affects the power production. The proper placement of WTs can reduce the wake effect in OWF. The optimal design of large OWF is based on combined approach of Ant colony optimization (ACO) with multiple travelling salesmen problem (MTSP) is presented. The objectives of the approach are to improve power production, minimize the length of cable and cable cost. By considering (a) placement of WT with consideration of wake effect, (b) placement of substation, (c) selection of submarine cables with higher reliability and minimal power loss, and (d) minimum length of WT cable routing with zero cross connection. ACO-MTSP approach is applied on large OWF connected with 280 WTs and results are compared with the outcome of reference OWF. � 2018 IEEE.en_US
dc.titleCombined approach based on ACO with MTSP for optimal internal electrical system design of large offshore wind farmen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
File Description SizeFormat 
12 Combined Approach Based.pdf1.95 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.