Cooperative wind turbine control for maximizing wind farm power using sequential convex programming

•The continuous wake model describes well the wake profile behind a wind turbine.•The wind farm power function describes well the power production of a wind farm.•Cooperative control increases the wind farm power efficiency by 7.3% in average.•SCP can be employed to efficiently optimize the control...

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Bibliographic Details
Published in:Energy conversion and management Vol. 101; pp. 295 - 316
Main Authors: Park, Jinkyoo, Law, Kincho H.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2015
Subjects:
Continuous wake model
Convexity
Cooperative control
Mathematical programming
Pitch angle
power generation
Power production
Sequential convex programming
Strategy
torque
Wakes
Wind farm
wind farms
Wind power
wind speed
Wind turbines
Sequential convex programming
Power production
Cooperative control
Continuous wake model
Wind farm
ISSN:0196-8904, 1879-2227
Online Access:Get full text
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Summary:•The continuous wake model describes well the wake profile behind a wind turbine.•The wind farm power function describes well the power production of a wind farm.•Cooperative control increases the wind farm power efficiency by 7.3% in average.•SCP can be employed to efficiently optimize the control actions of wind turbines. This paper describes the use of a cooperative wind farm control approach to improve the power production of a wind farm. The power production by a downstream wind turbine can decrease significantly due to reduced wind speed caused by the upstream wind turbines, thereby lowering the overall wind farm power production efficiency. In spite of the interactions among the wind turbines, the conventional (greedy) wind turbine control strategy tries to maximize the power of each individual wind turbine by controlling its yaw angle, its blade pitch angle and its generator torque. To maximize the overall wind farm power production while taking the wake interference into account, this study employs a cooperative control strategy. We first derive the wind farm power as a differentiable function of the control actions for the wind turbines in a wind farm. The wind farm power function is then maximized using sequential convex programming (SCP) to determine the optimum coordinated control actions for the wind turbines. Using an example wind farm site and available wind data, we show how the cooperative control strategy improves the power production of the wind farm.
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2015.05.031