An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller
Abstract
The National Renewable Energy Laboratory's 5-MW wind turbine model is well established as an industry standard and is often used as a comparison model, or a model on which to build upon. Though effective, the legacy controller for the 5-MW wind turbine uses a simple algorithm that is not up to date with many industry standards. Additionally, as the research community has advanced into fast-paced development cycles, as systems engineering tools such as Wind-Plant Integrated System Design & Engineering Model (WISDEM ®) [1] are employed, and as a greater focus on controls co-design practices is encouraged, demand for a generic wind turbine controller has arisen. This work presents updates for the NREL 5-MW controller to a more modern control architecture, and establishes a generic tuning framework that can be easily adapted to various wind turbines. Based on initial results, the updated generic controller eases the automatic tuning process while maintaining or improving the performance of the legacy NREL 5-MW controller.
- Authors:
-
- Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
- OSTI Identifier:
- 1659937
- Report Number(s):
- NREL/JA-5000-77145
Journal ID: ISSN 1742-6588; MainId:26091;UUID:e2f862e1-e87e-48b9-bca9-8d1e2834f82b;MainAdminID:13664
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 1452; Related Information: 75433; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; controller; reference; wind turbine
Citation Formats
Abbas, Nikhar, Wright, Alan, and Pao, Lucy. An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller. United States: N. p., 2020.
Web. doi:10.1088/1742-6596/1452/1/012002.
Abbas, Nikhar, Wright, Alan, & Pao, Lucy. An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller. United States. https://doi.org/10.1088/1742-6596/1452/1/012002
Abbas, Nikhar, Wright, Alan, and Pao, Lucy. Tue .
"An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller". United States. https://doi.org/10.1088/1742-6596/1452/1/012002. https://www.osti.gov/servlets/purl/1659937.
@article{osti_1659937,
title = {An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller},
author = {Abbas, Nikhar and Wright, Alan and Pao, Lucy},
abstractNote = {The National Renewable Energy Laboratory's 5-MW wind turbine model is well established as an industry standard and is often used as a comparison model, or a model on which to build upon. Though effective, the legacy controller for the 5-MW wind turbine uses a simple algorithm that is not up to date with many industry standards. Additionally, as the research community has advanced into fast-paced development cycles, as systems engineering tools such as Wind-Plant Integrated System Design & Engineering Model (WISDEM ®) [1] are employed, and as a greater focus on controls co-design practices is encouraged, demand for a generic wind turbine controller has arisen. This work presents updates for the NREL 5-MW controller to a more modern control architecture, and establishes a generic tuning framework that can be easily adapted to various wind turbines. Based on initial results, the updated generic controller eases the automatic tuning process while maintaining or improving the performance of the legacy NREL 5-MW controller.},
doi = {10.1088/1742-6596/1452/1/012002},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1452,
place = {United States},
year = {2020},
month = {3}
}
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Basic controller tuning for large offshore wind turbines
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