Develop Wake Mitigation Strategy (CRADA CRD-17-00693 Final Report)
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States); WindESCo, Inc., Burlington MA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1769813
- Report Number(s):
- NREL/TP-5000-79163; MainId:33389; UUID:f8ce91f9-dc07-495e-a98e-54bf6bbcad12; MainAdminID:19711
- Country of Publication:
- United States
- Language:
- English
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