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Optimal planning of a matrix-structured DC offshore wind farm collection system to enhance reliability

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  • Tao, Siyu
  • Yang, Jisheng
  • Ding, Jun
  • Zheng, Gang
  • Feijóo-Lorenzo, Andrés E.

Abstract

This paper proposes an optimization framework for planning matrix-structured collection system in direct current offshore wind farm to enhance reliability and reduce life-cycle costs. The matrix structure enables dynamic reconfiguration by incorporating spare cables between parallel wind turbine strings, significantly mitigating fault-induced power loss. The improved partheno genetic algorithm is applied to optimize the cable routing and type in the matrix structure, aiming to minimize the cable investment, operation and maintenance and power loss costs. To precisely evaluate system reliability, a time-varying fault model with sequential Monte Carlo method for offshore wind farm fault simulation is proposed instead of traditional probability simulation. It accurately characterizes the temporal variation of fault probability and seasonal fluctuations in repair time. The system power loss is assessed by integrating detailed wind data with wake model. Compared with the conventional series-parallel-parallel topology, the matrix structure increases the power supply reliability of the collection system from 96.71% to 98.44%. Meanwhile, it raises the transmitted electric energy of the 350 MW offshore wind farm throughout its life cycle by 576.95 GWh.

Suggested Citation

  • Tao, Siyu & Yang, Jisheng & Ding, Jun & Zheng, Gang & Feijóo-Lorenzo, Andrés E., 2026. "Optimal planning of a matrix-structured DC offshore wind farm collection system to enhance reliability," Renewable Energy, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:renene:v:269:y:2026:i:c:s0960148126006798
    DOI: 10.1016/j.renene.2026.125853
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