Conference paper · Journal article
Wind farm set point optimization with surrogate models for load and power output targets
This study presents a methodology for wind farm set point optimization, which allows including both loads and power output as optimization criteria. The primary control strategy investigated involves de-rating of individual turbines in the wind farm. The optimal de-rating level of each individual turbine is determined by using accurate and computationally efficient surrogate models, mapping the dependency between the choice of de-rating strategy for a given turbine and the load and power outputs of downwind turbines.
A case study based on the Lillgrund offshore wind farm shows that for specific wind directions with strong wake interactions, it may be possible to achieve a net gain in power output in the order of 5% at specific mean wind speeds. Alternatively, maintaining nominal power output but optimizing the load distribution could lead to substantial fatigue load reductions.
Language: | English |
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Publisher: | IOP Publishing |
Year: | 2021 |
Pages: | 012013 |
Proceedings: | EERA DeepWind’2021 - 18th Deep Sea Offshore Wind R&D Conference |
ISSN: | 17426596 and 17426588 |
Types: | Conference paper and Journal article |
DOI: | 10.1088/1742-6596/2018/1/012013 |
ORCIDs: | Dimitrov, Nikolay and Natarajan, Anand |