• EN
  • DA

Danish NationalResearch Database

  • Publications
  • Researchers
Example Finds records
water{} containing the word "water".
water supplies"{}" containing the phrase "water supplies".
author:"Doe, John"author:"{}" containing the phrase "Doe, John" in the author field.
title:IEEEtitle:{} containing the word "IEEE" in the title field.
bech{} containing the word "bech".
marie bech"{}" containing the phrase "marie bech".
orcid:0000-0002-5429-5292orcid:{} Having a particular ORCID
Need more help? Advanced search tutorial
  • Selected (0)
  • History

Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree method

    • Save to Mendeley
    • Export to BibTeX
    • Export to RIS
    • Email citation
Authors:
  • Hou, Peng ;
    Close
    Orcid logo0000-0002-5837-8431
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
  • Hu, Weihao ;
    Close
    Orcid logo0000-0003-3816-7263
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
  • Chen, Zhe
    Close
    Orcid logo0000-0002-2919-4481
    Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University
DOI:
10.1049/iet-rpg.2015.0340
Abstract:
The wind farm layout optimization problem is similar to the classic mathematical problem of finding the Minimum Spanning Tree (MST) of a weighted undirected graph. Due to the cable currentcarrying capacity limitation, the cable sectional area should be carefully selected to meet the system operational requirement and this constraint should be considered during the MST formulation process. Hence, traditional MST algorithm cannot ensure a minimal cable investment layout. In this paper, a new method to optimize the offshore wind farm cable connection layout is presented. The algorithm is formulated based on concept of MST and further improved by Adaptive Particle Swarm Optimization (APSO) algorithm. Since the location of the Offshore Substation (OS) has a significant impact on both the layout formulation and total cost of cables, the optimized location of OS is expected to be found together with the optimized cable connection layout. The proposed method is compared with the MST and Dynamic MST (DMST) methods and simulation results show the effectiveness of the proposed method.
Type:
Journal article
Language:
English
Published in:
Iet Renewable Power Generation, 2016, Vol 10, Issue 5, p. 694-702
Keywords:
Minimum Spanning Tree (MST); Current-carrying capacity; Cost-effective wind farm; Adaptive Particle Swarm Optimization (APSO) algorithm; Offshore Substation (OS)
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2016
Scientific Level:
Scientific
ID:
2303669966

Full text access

  • Doi Get publisher edition via DOI resolver
Checking for on-site access...

On-site access

At institution

  • Aalborg university.en

Metrics

Feedback

Sitemap

  • Search
    • Statistics
    • Tutorial
    • Data
    • FAQ
    • Contact
  • About
    • Institutions
    • Release History
    • Cookies and Personal Data
  • Open Access
    • The Danish Open Access Indicator

Copyright © 1998–2018.

Fivu en