Optimization of maintenance scheduling for offshore wind turbines considering the wake effect of arbitrary wind direction

Xiaolin Ge, Quan Chen, Yang Fu, C. Y. Chung, Yang Mi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


An optimization model for offshore wind farm maintenance scheduling is presented, considering minimum maintenance costs and maximum power generation. For power generation, the wind speed at each tower site plays an important role that is impacted not only by the dynamically changing wake overlap area and the consequence of variation of wind direction but also by the relative position of the wake affected by the maintenance status. This paper combines the wake model with the maintenance status to accurately express the input wind speed of the wind turbine (WT) in each period. Because the optimization model includes complex dynamical coupling relationships and a number of nonlinear constraints, mixed integer second-order cone programming (MISOCP) are employed to address these issues. The MISOCP model is relaxed as a mixed integer linear programming (MILP) model to improve computational efficiency and the ε-constraint method is utilized to handle the multi-objective function. The proposed model and method are tested in a short-term maintenance case of an offshore wind farm. The numerical results demonstrate that the proposed approach can achieve sound economic benefits and provide comprehensive decision support.

Original languageEnglish
Article number106298
JournalElectric Power Systems Research
Publication statusPublished - Jul 2020
Externally publishedYes


  • Maintenance
  • Mixed integer linear programming
  • Multi-objective
  • Offshore wind farm
  • Wake effect

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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