Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect

Peng Hou, Guangya Yang, Weihao Hu, Cong Chen, Mohsen Soltani, Zhe Chen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)


In order to reduce the levelised cost of energy (LCOE) of the offshore wind farm, many optimization works should be done to reduce the investment and increase the energy production. As one of the main expenses, the electrical system can take up more than 15% of the total investment while cable costs take a large proportion. In order to make a cost-effective wind farm, the cable connection layout should be optimized. This paper proposes a novel way for offshore wind farm cable connection layout design. The LCOE, which concerns three aspects: electrical power losses, power captured by wind turbines (WT) and investment, is selected to set up the objective function. Since all the optimization variables are integers, a heuristic algorithm, integer particle swarm optimization algorithm (IPSO), is adopted to find a near optimal solution. To improve the performance of the IPSO, an adaptive method for parameter control is used to help to find a better solution. Comparisons are made with results obtained by the Norwegian center for offshore wind energy (NORCOWE) reference wind farm and the presented method. From the simulation, it can be noticed that the presented approach can help to find a cable connection scheme which can reduce the LCOE by 1.75%.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018
Number of pages8
PublisherIEEE Press
Publication dateJul 2018
Article number8477866
ISBN (Print)978-1-5090-6018-4
ISBN (Electronic)978-1-5090-6017-7
Publication statusPublished - Jul 2018
Event2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Rio de Janeiro, Brazil
Duration: 8 Jul 201813 Jul 2018


Conference2018 IEEE Congress on Evolutionary Computation, CEC 2018
CityRio de Janeiro
SponsorIEEE, IEEE Computational Intelligence Society (CIS)


  • cable connection layout
  • IPSO
  • LCOE


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