The Active Frequency Control Strategy of the Wind Power Based on Model Predictive Control
Author(s) -
Yaling Chen,
Yinpeng Liu,
Xiaofei Sun
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/8834234
Subject(s) - control theory (sociology) , turbine , wind power , model predictive control , controller (irrigation) , frequency deviation , power (physics) , automatic frequency control , ac power , microgrid , computer science , engineering , control (management) , telecommunications , mechanical engineering , agronomy , physics , electrical engineering , quantum mechanics , artificial intelligence , biology
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.
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