Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report)
Abstract
Wind turbines in a wind farm typically operate individually to maximize their own performance and do not take into account information from nearby turbines. In an autonomous wind farm, enabling cooperation to achieve farm-level objectives, turbines will need to use information from nearby turbines to optimize performance, ensure resiliency when other sensors fail, and adapt to changing local conditions. A key element of achieving an autonomous wind farm is to develop algorithms that provide necessary information to ensure reliable, robust, and efficient operation of wind turbines in a wind plant using local sensor information that is already being collected, such as supervisory control and data acquisition (SCADA) data, local meteorological stations, and nearby radars/sodars/lidars. In this work consensus control is applied in a hybrid analysis to data from an existing wind farm to demonstrate the benefit of consensus control.
- Authors:
-
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States); WindESCo, Inc., Burlington MA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
- OSTI Identifier:
- 1769813
- Report Number(s):
- NREL/TP-5000-79163
MainId:33389;UUID:f8ce91f9-dc07-495e-a98e-54bf6bbcad12;MainAdminID:19711
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; yaw control; wind energy; CRADA; supervisory control and data acquisition; SCADA; autonomous wind farm; consensus control
Citation Formats
Fleming, Paul. Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report). United States: N. p., 2021.
Web. doi:10.2172/1769813.
Fleming, Paul. Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report). United States. https://doi.org/10.2172/1769813
Fleming, Paul. 2021.
"Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report)". United States. https://doi.org/10.2172/1769813. https://www.osti.gov/servlets/purl/1769813.
@article{osti_1769813,
title = {Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report)},
author = {Fleming, Paul},
abstractNote = {Wind turbines in a wind farm typically operate individually to maximize their own performance and do not take into account information from nearby turbines. In an autonomous wind farm, enabling cooperation to achieve farm-level objectives, turbines will need to use information from nearby turbines to optimize performance, ensure resiliency when other sensors fail, and adapt to changing local conditions. A key element of achieving an autonomous wind farm is to develop algorithms that provide necessary information to ensure reliable, robust, and efficient operation of wind turbines in a wind plant using local sensor information that is already being collected, such as supervisory control and data acquisition (SCADA) data, local meteorological stations, and nearby radars/sodars/lidars. In this work consensus control is applied in a hybrid analysis to data from an existing wind farm to demonstrate the benefit of consensus control.},
doi = {10.2172/1769813},
url = {https://www.osti.gov/biblio/1769813},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 24 00:00:00 EST 2021},
month = {Wed Feb 24 00:00:00 EST 2021}
}