Supergen Wind Hub : D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements
Wind Energy & Control Group; Kazacoks, Romans and Cole, Matthew and Leithead, Bill. (2019) Supergen Wind Hub : D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements. University of Strathclyde, Glasgow. (https://doi.org/10.17868/77130)
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Abstract
In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to be thoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.
ORCID iDs
Kazacoks, Romans ORCID: https://orcid.org/0000-0002-5391-8101, Cole, Matthew and Leithead, Bill;-
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Item type: Report ID code: 77130 Dates: DateEvent30 September 2019PublishedNotes: The contributions of Lindsay Amos and Adam Stock are, also, gratefully acknowledged. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 15 Jul 2021 15:29 Last modified: 11 Nov 2024 15:54 URI: https://strathprints.strath.ac.uk/id/eprint/77130