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Optimal Active Power Dispatch of Wind Farms Considering Fatigue Loads

  • Weimin Wu
  • , Wenrong Huo
  • , Weiwei Wan
  • , Zhiyuan Zhao
  • , Zhenghan Yin
  • , Shihao Jia
  • , Xinpo Lin
  • , Huihui Song*
  • *Corresponding author for this work
  • School of New Energy, Harbin Institute of Technology Weihai
  • Ltd.
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the increasing penetration of wind power, output fluctuations and fatigue damage of wind turbines pose greater challenges to wind farm operational control. This paper proposes a fatigue-aware optimal active power dispatch method for wind farms. First, a low-complexity cumulative fatigue damage calculation model is developed, and estimation models for tower thrust and main shaft torque are established based on wind speed and power data. Then, a multi-objective active power allocation model aiming at minimizing cumulative fatigue damage is formulated. Finally, the resulting multi-constrained optimization problem is solved using a Grey Wolf Optimizer with an improved convergence factor. Simulation results on a wind farm with 80 turbines demonstrate that the proposed method can effectively reduce turbine fatigue damage while satisfying grid dispatch requirements, with computational efficiency suitable for real-time operation and good engineering applicability.

Original languageEnglish
Title of host publicationProceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2267-2272
Number of pages6
ISBN (Electronic)9798331549558
DOIs
StatePublished - 2026
Externally publishedYes
Event9th International Electrical and Energy Conference, CIEEC 2026 - Tianjin, China
Duration: 15 May 202617 May 2026

Publication series

NameProceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026

Conference

Conference9th International Electrical and Energy Conference, CIEEC 2026
Country/TerritoryChina
CityTianjin
Period15/05/2617/05/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • active power dispatch
  • fatigue damage
  • grey wolf optimization algorithm
  • rainflow counting method
  • wind farm

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