The optimal control of type-4 wind turbines connected to an electric microgrid
The optimal control of type-4 wind turbines connected to an electric microgrid
- Author(s): J. Young 1 ; W. Weaver 2 ; D. G. Wilson 3 ; R. D. Robinett III 2
- DOI: 10.1049/icp.2021.2625
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- Author(s): J. Young 1 ; W. Weaver 2 ; D. G. Wilson 3 ; R. D. Robinett III 2
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View affiliations
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Affiliations:
1:
OptimoJoe , Houston, TX , USA ;
2: Michigan Technological University , Houghton, MI , USA ;
3: Electrical Science and Experiments Sandia National Laboratories , Albuquerque, NM , USA
Source:
20th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants (WIW 2021),
2021
p.
283 – 290
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Affiliations:
1:
OptimoJoe , Houston, TX , USA ;
- Conference: 20th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants (WIW 2021)
- DOI: 10.1049/icp.2021.2625
- ISBN: 978-1-83953-681-6
- Location: Hybrid Conference, Germany
- Conference date: 29-30 September 2021
- Format: PDF
This research presents a supervisory optimal control framework called Oxtimal for the efficient control of Type 4 wind turbines with power quality and power system balancing metrics. This framework consists of a reduced order model (ROM) of wind turbines connected to an electrical microgrid, a discretization of the resulting constitutive equations using an orthogonal spline collocation method (OSCM), and an optimization engine to solve the resulting formulation. Using this framework, the approach is validated using wind profiles that result from high fidelity wind simulations.
Inspec keywords: power supply quality; distributed power generation; optimal control; splines (mathematics); optimisation; power generation control; wind turbines
Subjects: Power supply quality and harmonics; Optimisation techniques; Optimal control; Optimisation techniques; Interpolation and function approximation (numerical analysis); Control of electric power systems; Interpolation and function approximation (numerical analysis); Distributed power generation; Wind power plants
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