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Title: 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:
ORCiD logo [1]
  1. 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}
}