Effective wind speed estimation for wind turbines in down-regulation

Alan Wai Hou Lio*, Fanzhong Meng

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

The use of state estimation technique offers a means of estimating the effective
wind speed based solely upon the measurements of the turbine. Such wind speed estimations are crucial for turbines to calculate the reserved power for ancillary services. Nonetheless, the system observability or the possibility of estimating the wind speed is influenced by various down-regulation strategies. Thus, this paper investigates the system observabilities of turbines in different down-regulating conditions via the use of the empirical observability Gramian. In
addition, wind speed estimators are constructed for each control strategy using an extended Kalman filter approach. Subsequently, each estimation performance is evaluated from the assessments of the Gramians and high-fidelity turbine simulations. The results reveal that it is more difficult to reconstruct the wind estimate from measurements of the turbine operating in torque-based than rotor-speed-based down-regulation strategies.
Original languageEnglish
Article number012008
Book seriesJournal of Physics: Conference Series
Volume1452
Number of pages11
ISSN1742-6596
DOIs
Publication statusPublished - 2020
EventNAWEA/WINDTECH 2019 - University of Massachusetts , Amherst , United States
Duration: 14 Oct 201916 Oct 2019
https://www.naweawindtech2019.org

Conference

ConferenceNAWEA/WINDTECH 2019
LocationUniversity of Massachusetts
CountryUnited States
CityAmherst
Period14/10/201916/10/2019
Internet address

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