Optimal open loop wind farm control

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Abstract

This paper presents a general purpose platform for optimal open loop control of wind power plants as seen from a power production perspective. The general idea is to change the controller design criteria from greedy individual wind turbines to a controller design facilitating cooperative and interdependent elements of a wind power plant, with the overall aim to improve the wind power plant power production conditioned on ambient mean wind speed and mean wind direction. The flow within the wind power plant, including all essential interactions between the wind turbines, is modelled using a very fast linearized CFD RANS solver. The wind turbines are modelled as actuator discs, and two design variables per wind turbine - collective pitch, α, and tip speed ratio, λ - are initially defined for the optimization problem. However, a priory we expect one design variable to suffice - i.e. the unique set of (α, λ) representing the lowest thrust coefficient, CT , for a given power coefficient Cp . The conjectured collapse of the design space is justified in this paper. Optimized control schemes for the Lillgrund offshore wind farm are derived conditioned on ambient mean wind direction and wind speed. Aggregated over a year, using the site sector Weibull distributions, an increase in the annual energy production of 1% is demonstrated.
Original languageEnglish
Title of host publicationProceedings of the Wake Conference 2019
Number of pages12
Volume1256
Publication date2019
Edition1
Article number012027
DOIs
Publication statusPublished - 2019
EventWake Conference 2019 - Uppsala University Campus Gotland, Visby, Sweden
Duration: 22 May 201924 May 2019
http://standupforwind.se/konferenser-och-moten/wake-conference-2019/

Conference

ConferenceWake Conference 2019
LocationUppsala University Campus Gotland
CountrySweden
CityVisby
Period22/05/201924/05/2019
Internet address
SeriesJournal of Physics: Conference Series
NumberConf. 1
Volume1256
ISSN1742-6596

Keywords

  • Physics and Astronomy (all)
  • Actuator disks
  • Computational fluid dynamics
  • Controllers
  • Electric utilities
  • Offshore oil well production
  • Power plants
  • Reactive power
  • Wakes
  • Weibull distribution
  • Wind
  • Wind turbines
  • Annual energy productions
  • Controller designs
  • Design variables
  • Open loop control
  • Optimization problems
  • Optimized control
  • Power coefficients
  • Thrust coefficients
  • Offshore wind farms
  • Atmospheric Properties
  • Oil Field Production Operations
  • Mechanical Drives
  • Wind Power
  • Fluid Flow, General
  • Computer Applications
  • Control Equipment
  • Mathematical Statistics

Cite this

Vitulli, J. A., Larsen, G. C., Pedersen, M. M., Ott, S., & Friis-Møller, M. (2019). Optimal open loop wind farm control. In Proceedings of the Wake Conference 2019 (1 ed., Vol. 1256). [012027] Journal of Physics: Conference Series, No. Conf. 1, Vol.. 1256 https://doi.org/10.1088/1742-6596/1256/1/012027
Vitulli, J. A. ; Larsen, Gunner Chr. ; Pedersen, M. M. ; Ott, Søren ; Friis-Møller, Mikkel. / Optimal open loop wind farm control. Proceedings of the Wake Conference 2019. Vol. 1256 1. ed. 2019. (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256).
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abstract = "This paper presents a general purpose platform for optimal open loop control of wind power plants as seen from a power production perspective. The general idea is to change the controller design criteria from greedy individual wind turbines to a controller design facilitating cooperative and interdependent elements of a wind power plant, with the overall aim to improve the wind power plant power production conditioned on ambient mean wind speed and mean wind direction. The flow within the wind power plant, including all essential interactions between the wind turbines, is modelled using a very fast linearized CFD RANS solver. The wind turbines are modelled as actuator discs, and two design variables per wind turbine - collective pitch, α, and tip speed ratio, λ - are initially defined for the optimization problem. However, a priory we expect one design variable to suffice - i.e. the unique set of (α, λ) representing the lowest thrust coefficient, CT , for a given power coefficient Cp . The conjectured collapse of the design space is justified in this paper. Optimized control schemes for the Lillgrund offshore wind farm are derived conditioned on ambient mean wind direction and wind speed. Aggregated over a year, using the site sector Weibull distributions, an increase in the annual energy production of 1{\%} is demonstrated.",
keywords = "Physics and Astronomy (all), Actuator disks, Computational fluid dynamics, Controllers, Electric utilities, Offshore oil well production, Power plants, Reactive power, Wakes, Weibull distribution, Wind, Wind turbines, Annual energy productions, Controller designs, Design variables, Open loop control, Optimization problems, Optimized control, Power coefficients, Thrust coefficients, Offshore wind farms, Atmospheric Properties, Oil Field Production Operations, Mechanical Drives, Wind Power, Fluid Flow, General, Computer Applications, Control Equipment, Mathematical Statistics",
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Vitulli, JA, Larsen, GC, Pedersen, MM, Ott, S & Friis-Møller, M 2019, Optimal open loop wind farm control. in Proceedings of the Wake Conference 2019. 1 edn, vol. 1256, 012027, Journal of Physics: Conference Series, no. Conf. 1, vol. 1256, Wake Conference 2019, Visby, Sweden, 22/05/2019. https://doi.org/10.1088/1742-6596/1256/1/012027

Optimal open loop wind farm control. / Vitulli, J. A.; Larsen, Gunner Chr.; Pedersen, M. M.; Ott, Søren; Friis-Møller, Mikkel.

Proceedings of the Wake Conference 2019. Vol. 1256 1. ed. 2019. 012027 (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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N2 - This paper presents a general purpose platform for optimal open loop control of wind power plants as seen from a power production perspective. The general idea is to change the controller design criteria from greedy individual wind turbines to a controller design facilitating cooperative and interdependent elements of a wind power plant, with the overall aim to improve the wind power plant power production conditioned on ambient mean wind speed and mean wind direction. The flow within the wind power plant, including all essential interactions between the wind turbines, is modelled using a very fast linearized CFD RANS solver. The wind turbines are modelled as actuator discs, and two design variables per wind turbine - collective pitch, α, and tip speed ratio, λ - are initially defined for the optimization problem. However, a priory we expect one design variable to suffice - i.e. the unique set of (α, λ) representing the lowest thrust coefficient, CT , for a given power coefficient Cp . The conjectured collapse of the design space is justified in this paper. Optimized control schemes for the Lillgrund offshore wind farm are derived conditioned on ambient mean wind direction and wind speed. Aggregated over a year, using the site sector Weibull distributions, an increase in the annual energy production of 1% is demonstrated.

AB - This paper presents a general purpose platform for optimal open loop control of wind power plants as seen from a power production perspective. The general idea is to change the controller design criteria from greedy individual wind turbines to a controller design facilitating cooperative and interdependent elements of a wind power plant, with the overall aim to improve the wind power plant power production conditioned on ambient mean wind speed and mean wind direction. The flow within the wind power plant, including all essential interactions between the wind turbines, is modelled using a very fast linearized CFD RANS solver. The wind turbines are modelled as actuator discs, and two design variables per wind turbine - collective pitch, α, and tip speed ratio, λ - are initially defined for the optimization problem. However, a priory we expect one design variable to suffice - i.e. the unique set of (α, λ) representing the lowest thrust coefficient, CT , for a given power coefficient Cp . The conjectured collapse of the design space is justified in this paper. Optimized control schemes for the Lillgrund offshore wind farm are derived conditioned on ambient mean wind direction and wind speed. Aggregated over a year, using the site sector Weibull distributions, an increase in the annual energy production of 1% is demonstrated.

KW - Physics and Astronomy (all)

KW - Actuator disks

KW - Computational fluid dynamics

KW - Controllers

KW - Electric utilities

KW - Offshore oil well production

KW - Power plants

KW - Reactive power

KW - Wakes

KW - Weibull distribution

KW - Wind

KW - Wind turbines

KW - Annual energy productions

KW - Controller designs

KW - Design variables

KW - Open loop control

KW - Optimization problems

KW - Optimized control

KW - Power coefficients

KW - Thrust coefficients

KW - Offshore wind farms

KW - Atmospheric Properties

KW - Oil Field Production Operations

KW - Mechanical Drives

KW - Wind Power

KW - Fluid Flow, General

KW - Computer Applications

KW - Control Equipment

KW - Mathematical Statistics

U2 - 10.1088/1742-6596/1256/1/012027

DO - 10.1088/1742-6596/1256/1/012027

M3 - Article in proceedings

VL - 1256

T3 - Journal of Physics: Conference Series

BT - Proceedings of the Wake Conference 2019

ER -

Vitulli JA, Larsen GC, Pedersen MM, Ott S, Friis-Møller M. Optimal open loop wind farm control. In Proceedings of the Wake Conference 2019. 1 ed. Vol. 1256. 2019. 012027. (Journal of Physics: Conference Series; No. Conf. 1, Vol. 1256). https://doi.org/10.1088/1742-6596/1256/1/012027