A quantitative review of wind farm control with the objective of wind farm power maximization. Issue 192 (September 2019)

• Record Type: Journal Article
• Authors: Kheirabadi, Ali C.; Nagamune, Ryozo
• Is Part Of: Journal of wind engineering and industrial aerodynamics. Issue 192(2019)
• Page Start: 45
• Page End: 73
• Publication Date: 2019-09
• Subjects: Wind energy -- Review article -- Wind farm control -- Wake modeling; Wind-pressure -- Periodicals; Buildings -- Aerodynamics -- Periodicals; Pression du vent -- Périodiques; Constructions -- Aérodynamique -- Périodiques; Buildings -- Aerodynamics; Wind-pressure; Periodicals
• DOI: 10.1016/j.jweia.2019.06.015
• Languages: English
• ISSNs: 0167-6105

Abstract

Abstract: This article presents a review of control strategies for maximizing power production within wind farms. Discussions focus on three notable concepts; power de-rating, yaw-based wake redirection, and turbine repositioning. Existing works that have examined the potential of these concepts via optimization studies, numerical simulation, experimentation, as well as those that have developed and evaluated control algorithms, are reviewed thoroughly and quantitatively. Criteria for this review process include the evaluation methods employed, simulated wind conditions, controller properties such as model dependency and communication architecture, and the resulting relative rise in wind farm efficiency. The data collected from existing literature is then utilized to draw conclusions regarding the influence of each of these criteria on the potential and performance of wind farm controllers. Appropriate recommendations for future modeling and controller design research are then offered based on these conclusions. Highlights: The structure and operation of wind farm controllers are discussed. Common wind farm models are reviewed with focus on their fidelity and simulated physics. Major findings from recent literature on wind farm control for power maximization are reported. Details from each work, such as evaluation methods and results, are listed in summary tables. Histograms provide metadata about evaluation methods and predicted wind farm efficiency gains.