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Complete joint-optimization for offshore wind farm planning

  • Tengjun Zuo
  • , Yuchen Zhang
  • , Liansong Xiong
  • , Xiangjing Su
  • , Xiaolian Zhang
  • , Ke Meng
  • , Zhao Yang Dong
  • , Haitao Liu
  • , Sipeng Hao
  • Nanjing Institute of Technology
  • University of New South Wales
  • Shanghai University of Electric Power
  • Nanyang Technological University

科研成果: 期刊稿件文章同行评审

22 引用 (Scopus)

摘要

Offshore wind power is continuously developing for renewable energy generation. Generally, the overall planning work of offshore wind farms (OWFs) is divided into wind farm layout optimization (WFLO) and wind farm collector system optimization (WFCSO), which focus on wind turbines’ (WT) micro-siting and sea cables’ network design, respectively. Traditionally, the optimizations on these two subproblems are isolated, which lacks the integral consideration of their co-effect on the optimal planning solution. Moreover, the practicability of these optimizations also remains at a low level, with key practical factors being largely overlooked for the sake of model simplicity. To fill these gaps, this article proposes a complete modelling of the joint-optimization problem for OWF planning with a double-layer optimization framework. It not only considers the interplay between WFLO and WFCSO, but also well integrates all the essential and practical parts together, including the impacts of 3D seabed geography, the scalability to multiple offshore substations, the reliability concerns of WTs’ fatigue, and the layer-wise selection of solving algorithms to suit the different problem natures. The proposed optimization method is tested on a 50 WTs system through comparative studies, and the results verify the necessity of each designed part in the proposed joint planning model.

源语言英语
文章编号109832
期刊International Journal of Electrical Power and Energy Systems
157
DOI
出版状态已出版 - 6月 2024

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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