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Cable Connection Optimization for Heterogeneous Offshore Wind Farms via a Voronoi Diagram Based Adaptive Particle Swarm Optimization with Local Search

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  • Yuanhang Qi

    (School of Computer Science, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Peng Hou

    (SEWPG European Innovation Center, 8000 Aarhus, Denmark)

  • Guisong Liu

    (School of Computer Science, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Rongsen Jin

    (Department of Operation, University of Groningen, 9747 Groningen, The Netherlands)

  • Zhile Yang

    (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

  • Guangya Yang

    (Center of Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, 2800 Lyngby, Denmark)

  • Zhaoyang Dong

    (School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia)

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.

Suggested Citation

  • Yuanhang Qi & Peng Hou & Guisong Liu & Rongsen Jin & Zhile Yang & Guangya Yang & Zhaoyang Dong, 2021. "Cable Connection Optimization for Heterogeneous Offshore Wind Farms via a Voronoi Diagram Based Adaptive Particle Swarm Optimization with Local Search," Energies, MDPI, vol. 14(3), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:644-:d:488229
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    References listed on IDEAS

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