Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm

Peng Hou; Weihao Hu; Zhe Chen

doi:10.1109/UPEC.2015.7339896

Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm

Peng Hou, Weihao Hu, Zhe Chen

AAU Energi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

9 Citationer (Scopus)

Abstract

Anew approach, Dynamic Minimal Spanning Tree (DMST) algorithm, whichisbased on the MST algorithm isproposed in this paper to optimizethe cable connectionlayout for large scale offshore wind farm collection system. The current carrying capacity of the cable is considered as the main constraint. Thedynamic changing of the cable capacity, therefore, the cost during the searching process is presented in this work. Twowind farms arechosen as the studied case and the final results showthat the proposed methodcan save the investment on cables 1.07% and 6.10% respectively compared with MST method. It is amore economicalway for cable connection configurationdesignof offshore wind farm collection system.

Originalsprog	Engelsk
Titel	Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC)
Antal sider	6
Forlag	IEEE Press
Publikationsdato	2015
Sider	1-6
ISBN (Trykt)	978-1-4673-9682-0
DOI	https://doi.org/10.1109/UPEC.2015.7339896
Status	Udgivet - 2015
Begivenhed	50th IEEE International Universities Power Engineering Conference, UPEC 2015 - , Storbritannien Varighed: 1 sep. 2015 → 4 sep. 2015

Konference

Konference	50th IEEE International Universities Power Engineering Conference, UPEC 2015
Land/Område	Storbritannien
Periode	01/09/2015 → 04/09/2015

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10.1109/UPEC.2015.7339896

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Citationsformater

@inproceedings{9c1d382cb5df4e138e23ac34fd1b158e,

title = "Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm",

abstract = "Anew approach, Dynamic Minimal Spanning Tree (DMST) algorithm, whichisbased on the MST algorithm isproposed in this paper to optimizethe cable connectionlayout for large scale offshore wind farm collection system. The current carrying capacity of the cable is considered as the main constraint. Thedynamic changing of the cable capacity, therefore, the cost during the searching process is presented in this work. Twowind farms arechosen as the studied case and the final results showthat the proposed methodcan save the investment on cables 1.07% and 6.10% respectively compared with MST method. It is amore economicalway for cable connection configurationdesignof offshore wind farm collection system.",

keywords = "dynamic minimal spanning tree (DMST), current carrying capacity, cable connection configuration design",

author = "Peng Hou and Weihao Hu and Zhe Chen",

year = "2015",

doi = "10.1109/UPEC.2015.7339896",

language = "English",

isbn = "978-1-4673-9682-0",

pages = "1--6",

booktitle = "Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC)",

publisher = "IEEE Press",

note = "50th IEEE International Universities Power Engineering Conference, UPEC 2015 ; Conference date: 01-09-2015 Through 04-09-2015",

}

Hou, P, Hu, W & Chen, Z 2015, Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm. i Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC). IEEE Press, s. 1-6, 50th IEEE International Universities Power Engineering Conference, UPEC 2015, Storbritannien, 01/09/2015. https://doi.org/10.1109/UPEC.2015.7339896

Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm. / Hou, Peng; Hu, Weihao; Chen, Zhe.
Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC). IEEE Press, 2015. s. 1-6.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm

AU - Hou, Peng

AU - Hu, Weihao

AU - Chen, Zhe

PY - 2015

Y1 - 2015

N2 - Anew approach, Dynamic Minimal Spanning Tree (DMST) algorithm, whichisbased on the MST algorithm isproposed in this paper to optimizethe cable connectionlayout for large scale offshore wind farm collection system. The current carrying capacity of the cable is considered as the main constraint. Thedynamic changing of the cable capacity, therefore, the cost during the searching process is presented in this work. Twowind farms arechosen as the studied case and the final results showthat the proposed methodcan save the investment on cables 1.07% and 6.10% respectively compared with MST method. It is amore economicalway for cable connection configurationdesignof offshore wind farm collection system.

AB - Anew approach, Dynamic Minimal Spanning Tree (DMST) algorithm, whichisbased on the MST algorithm isproposed in this paper to optimizethe cable connectionlayout for large scale offshore wind farm collection system. The current carrying capacity of the cable is considered as the main constraint. Thedynamic changing of the cable capacity, therefore, the cost during the searching process is presented in this work. Twowind farms arechosen as the studied case and the final results showthat the proposed methodcan save the investment on cables 1.07% and 6.10% respectively compared with MST method. It is amore economicalway for cable connection configurationdesignof offshore wind farm collection system.

KW - dynamic minimal spanning tree (DMST)

KW - current carrying capacity

KW - cable connection configuration design

U2 - 10.1109/UPEC.2015.7339896

DO - 10.1109/UPEC.2015.7339896

M3 - Article in proceeding

SN - 978-1-4673-9682-0

SP - 1

EP - 6

BT - Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC)

PB - IEEE Press

T2 - 50th IEEE International Universities Power Engineering Conference, UPEC 2015

Y2 - 1 September 2015 through 4 September 2015

ER -

Offshore Wind Farm Cable Connection Configuration Optimization using Dynamic Minimum Spanning Tree Algorithm

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