The Active Frequency Control Strategy of the Wind Power Based on Model Predictive Control. (27th May 2021)

• Record Type: Journal Article
• Authors: Chen, Ya-ling; Liu, Yin-peng; Sun, Xiao-fei
• Other Names: Chen Qiang Academic Editor.
• Is Part Of: Complexity. Volume 2021(2021)
• Publication Date: 2021-05-27
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2021/8834234
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : In this paper, an active frequency control strategy of wind turbines based on model predictive control is proposed by using the power margin of wind turbines operating in load shedding mode. The frequency response model of the microgrid system with the load shedding of the wind turbines is used to predict the output power and system frequency deviation of the wind turbine. According to the prediction information, the output power control signal of the model predictive controller in the wind turbine can be optimized. On this basis, a wind turbine active participation frequency control strategy based on model predictive control is designed by rolling prediction and optimization. The wind turbine power control signal after the strategy is used to adjust the output power of the wind turbine and balance the change of the active power of the system to reduce the frequency deviation.