Risk-informed integrated design optimization for offshore wind farm electrical systems

Min Liu, Da Gang Lu*, Jianjun Qin, Yi Zhi Miao, Wei Heng Zhang, Jiang Sheng Zhu, Michael Havbro Faber

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The present paper develops and presents a risk-informed framework for the design of electrical systems of offshore wind farms. The framework provides a consistent theoretical and methodical basis for the treatment of uncertainties affecting service life performances and accounts for both the direct and indirect consequences related to system failure events. The risk of electrical systems is represented through a probabilistic systems modeling approach in which the states (direct failure, available, and unavailable) of the components and the resulting consequences are duly accounted for. The paper further proposes a risk-informed design optimization framework for offshore wind farm electrical systems (collection and transmission systems). Two risk indicators, the scenario-based net present value, and the robustness index, are formulated and quantified to support decision-making. The proposed framework and associated methods are illustrated through an application example considering an OWF comprised of 57 10MW wind turbines with HVAC transmission.

Original languageEnglish
Article number110299
JournalReliability Engineering and System Safety
Volume250
ISSN0951-8320
DOIs
Publication statusPublished - Oct 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

Keywords

  • Decision optimization
  • Electrical system
  • Life-cycle performance
  • Offshore wind farm
  • Risk analysis
  • System-of-systems

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