Discussion papers | Copyright
https://doi.org/10.5194/wes-2018-60
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Research articles 05 Oct 2018

Research articles | 05 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).

A Framework for Autonomous Wind Farms: Wind Direction Consensus

Jennifer Annoni1, Christopher Bay1,2,3, Kathryn Johnson1,2, Emiliano Dall'Anese3, Eliot Quon1, Travis Kemper1, and Paul Fleming1 Jennifer Annoni et al.
  • 1National Renewable Energy Laboratory, Golden, CO, 80401, USA
  • 2Colorado School of Mines, Golden CO, 80401, USA
  • 3University of Colorado - Boulder, Boulder, CO, 80309, USA

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 acquistion (SCADA) data, local meteorological stations, and nearby radars/sodars/lidars. This article presents a framework for implementing an autonomous wind farm that incorporates information from local sensors in real time to better align turbines in a wind farm. Oftentimes, measurements made at an individual turbine are noisy and unreliable. By incorporating measurements from multiple nearby turbines, a more robust estimate of the wind direction can be obtained at an individual turbine. Results indicate that this estimate of the wind direction can be used to improve the turbine's knowledge of the wind direction and could decrease dynamic yaw misalignment, decrease the amount of time a turbine spends yawing due to a more robust input to the yaw controller, and increase resiliency to faulty wind-vane measurements.

Jennifer Annoni et al.
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Jennifer Annoni et al.
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Latest update: 17 Oct 2018
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Short summary
Turbines do not share information with nearby turbines in a wind farm. Relying on a single turbine sensor on the back of a turbine nacelle can lead to large errors in yaw misalignment or excessive yawing due to noisy sensor measurements on the turbine. The wind farm consensus control approach in this paper shows the benefits of sharing information between nearby turbines by computing a robust estimate of the wind direction using noisy sensor information from these neighboring turbines.
Turbines do not share information with nearby turbines in a wind farm. Relying on a single...
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