Cable connection optimization for heterogeneous offshore wind farms via a voronoi diagram based adaptive particle swarm optimization with local search
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Article number | 644 |
Journal / Publication | Energies |
Volume | 14 |
Issue number | 3 |
Online published | 27 Jan 2021 |
Publication status | Published - Feb 2021 |
Externally published | Yes |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85106316204&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(5c411aed-beae-4ae4-a276-3bbaff98c3c5).html |
Abstract
Offshore wind energy, as one of the featured rich renewable energy sources, is getting more and more attention. The cable connection layout has a significant impact on the economic performance of offshore wind farms. To make better use of the wind resources of a given sea area, a new method for optimal construction of offshore wind farms with different types of wind turbines has emerged in recent years. In such a wind farm, the capacities of wind turbines are not identical which brings new challenges for the cable connection layout optimization. In this work, an optimization model named CCLOP is proposed for such wind farms. The model incorporates both the cable capital cost and the cost of power losses associated with the cables in its objective function. To get an optimized result, a Voronoi diagram based adaptive particle swarm optimization with local search is proposed and applied. The simulation results show that the proposed method can help find a solution that is 12.74% outperformed than a benchmark. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Research Area(s)
- Adaptive particle swarm optimization, Cable connection layout, Local search, Multiple wind turbine types, Offshore wind farm, Power losses, Voronoi diagram
Citation Format(s)
Cable connection optimization for heterogeneous offshore wind farms via a voronoi diagram based adaptive particle swarm optimization with local search. / Qi, Yuanhang; Hou, Peng; Liu, Guisong et al.
In: Energies, Vol. 14, No. 3, 644, 02.2021.
In: Energies, Vol. 14, No. 3, 644, 02.2021.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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