Optimal wind farm cabling

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Title: Optimal wind farm cabling
Authors: Xuan, G
Kuenzel, STGI
Pal, BC
Item Type: Journal Article
Abstract: Wind farm cable length has a direct impact on the project cost, reliability and electrical losses. The optimum cable layout results in a lower unit cost of generating electricity offshore. This paper explores three cabling structures: the string structure, ring structures and multi-loop structure on a 3D seabed. The newly proposed multi-loop structure increases reliability and proves to be most economic when the failure rate and mean time to repair (MTTR) of cables are relatively high. Particle swarm optimization (PSO) is used to find the optimal substation location that minimizes the overall cable distance.
Issue Date: Jul-2018
Date of Acceptance: 1-Nov-2017
URI: http://hdl.handle.net/10044/1/58954
DOI: https://doi.org/10.1109/TSTE.2017.2771147
ISSN: 1949-3029
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1126
End Page: 1136
Journal / Book Title: IEEE Transactions on Sustainable Energy
Volume: 9
Issue: 3
Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Commission of the European Communities
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/L014343/1
746638
J15119 - PO:500174140
Keywords: Science & Technology
Technology
Green & Sustainable Science & Technology
Energy & Fuels
Engineering, Electrical & Electronic
Science & Technology - Other Topics
Engineering
String structure
ring structure
multi-loop structure
3D seabed
particle swarm optimization
VEHICLE-ROUTING PROBLEM
GENETIC ALGORITHM
NETWORK DESIGN
CUT ALGORITHM
ENERGY
0906 Electrical and Electronic Engineering
0915 Interdisciplinary Engineering
Publication Status: Published
Open Access location: http://ieeexplore.ieee.org/document/8100991/
Online Publication Date: 2017-11-09
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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