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Active power dispatch optimization for offshore wind farms considering fatigue distribution

Author

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  • Liao, Hao
  • Hu, Weihao
  • Wu, Xiawei
  • Wang, Ni
  • Liu, Zhou
  • Huang, Qi
  • Chen, Cong
  • Chen, Zhe

Abstract

As the emergence of large-scale offshore wind farms (WFs), how to reduce the high cost of them has become a critical problem. One way is to decrease the maintenance cost, another way is to capture more wind energy. Herein, an optimised WF active power dispatch (APD) strategy is proposed to make WF capture the maximum wind energy while balancing the fatigue distribution of WF, which is closely related to the WF maintenance frequency. In addition, two traditional strategies are introduced as comparisons of the proposed strategy. And the result of strategy A is used as a benchmark for comparison. This paper takes fatigue coefficient to evaluate the fatigue load suffered by wind turbines (WT). Particle swarm optimization (PSO) is adopted to solve this problem. Simulations are conducted based on a regular shaped WF with 25 WTs and an irregular shaped WF with 80 WTs. The results of case studies prove the superiority of the strategy formulated herein.

Suggested Citation

  • Liao, Hao & Hu, Weihao & Wu, Xiawei & Wang, Ni & Liu, Zhou & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Active power dispatch optimization for offshore wind farms considering fatigue distribution," Renewable Energy, Elsevier, vol. 151(C), pages 1173-1185.
    • Handle: RePEc:eee:renene:v:151:y:2020:i:c:p:1173-1185
    DOI: 10.1016/j.renene.2019.11.132
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    References listed on IDEAS

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    Cited by:

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    2. Yanfang Chen & Young Hoon Joo & Dongran Song, 2022. "Multi-Objective Optimisation for Large-Scale Offshore Wind Farm Based on Decoupled Groups Operation," Energies, MDPI, vol. 15(7), pages 1-24, March.
    3. Shu, Tong & Song, Dongran & Hoon Joo, Young, 2022. "Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph," Applied Energy, Elsevier, vol. 306(PA).
    4. Cai, Wei & Hu, Yang & Fang, Fang & Yao, Lujin & Liu, Jizhen, 2023. "Wind farm power production and fatigue load optimization based on dynamic partitioning and wake redirection of wind turbines," Applied Energy, Elsevier, vol. 339(C).
    5. Tong Shu & Young Hoon Joo, 2023. "Non-Centralised Balance Dispatch Strategy in Waked Wind Farms through a Graph Sparsification Partitioning Approach," Energies, MDPI, vol. 16(20), pages 1-21, October.
    6. Kuichao Ma & Mohsen Soltani & Amin Hajizadeh & Jiangsheng Zhu & Zhe Chen, 2021. "Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault," Energies, MDPI, vol. 14(11), pages 1-16, May.

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