Wind farm power optimization including flow variability

Jürgen Herp, Uffe Vestergaard Poulsen, Martin Greiner

Research output: Contribution to journalJournal articleResearchpeer-review


A model-based optimisation approach is used to investigate the potential gain of wind-farm power with a cooperative control strategy between the wind turbines. Based on the Jensen wake model with the Katic wake superposition rule, the potential gain for the Nysted offshore wind farm is calculated to be 1.4-5.4% for standard choices 0.4 ≥ k≥0.25 of the wake expansion parameter. Wake model fits based on short time intervals of length 15sec ≤ T≤10min within three months of data reveal a strong wake flow variability, resulting in rather broad distributions for the wake expansion parameter. When an optimized wind-farm control strategy, derived from a fixed wake parameter, is facing this flow variability, the potential gain reduces to 0.3-0.5%. An omnipotent control strategy, which has real-time knowledge of the actual wake flow, would be able to increase the gain in wind-farm power to 4.9%.

Original languageEnglish
JournalRenewable Energy
Pages (from-to)173–181
Publication statusPublished - Sep 2015


  • Flow variability
  • Model-based data analysis
  • Operational wake-flow modelling
  • Optimization
  • Wakes
  • Wind farm


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