VOLTAGE RECOVERY COORDINATED CONTROL OF WIND POWER FARM BASED ON HIERARCHICAL MODEL PREDICTIVE CONTROL

Mao Junyi; Gu Tingyun; Gao Yuan; Xu Changbao; Lin Chenghui; Fan Qiang

doi:10.19912/j.0254-0096.tynxb.2023-1357

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (12) : 407-415. DOI: 10.19912/j.0254-0096.tynxb.2023-1357

VOLTAGE RECOVERY COORDINATED CONTROL OF WIND POWER FARM BASED ON HIERARCHICAL MODEL PREDICTIVE CONTROL

Mao Junyi, Gu Tingyun, Gao Yuan, Xu Changbao, Lin Chenghui, Fan Qiang

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Abstract

In order to coordinate the reactive power output between wind farms, a voltage control strategy based on HMPC was proposed, which aims to improve the high voltage ride through and post fault voltage recovery capabilities of large wind farms, and reduce the computational tasks of wind farm controllers. Based on the hierarchical control framework of wind farm voltage, this paper first established the overall control model of the wind farm from the individual control model of the wind turbine, and used the HMPC method to rolling optimize the reactive power output of the wind farm; Furthermore, in order to improve the computational efficiency of voltage optimization problems in large-scale wind farms, a distributed solution method based on the alternating direction multiplier method was adopted. A wind farm simulation example was built using Matlab/Simulink for verification, and the results show that the proposed HMPC method has higher efficiency compared to traditional control methods in minimizing voltage deviation at the end of the wind turbine group and reducing computational complexity.

Key words

wind power farm / voltage control / reactive power / hierarchical model predictive control / alternating direction multiplier method

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Mao Junyi, Gu Tingyun, Gao Yuan, Xu Changbao, Lin Chenghui, Fan Qiang. VOLTAGE RECOVERY COORDINATED CONTROL OF WIND POWER FARM BASED ON HIERARCHICAL MODEL PREDICTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 407-415 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1357

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