Active and reactive power optimization control strategy for wind farm fault ride-through based on model predictive control

被引：0
|
作者：
Cui T. [1 ]
Li X. [2 ]
Yan C. [2 ]
Huang S. [2 ]
Shen F. [2 ]
Wang D. [1 ]
机构：
[1] State Grid Hunan Electric Power Corporation Research Institute, Changsha
[2] College of Electrical and Information Engineering, Hunan University, Changsha
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Active and reactive power coordination; Fault ride-through control; MPC; Static var generator; Wind farm;
D O I：
10.19783/j.cnki.pspc.210479
中图分类号：
学科分类号：
摘要：
Grid events may cause a sudden change in the wind turbine terminal of a grid-connected wind farm, resulting in wind turbine trip, thereby threatening safe operation. To solve this problem, an active and reactive power optimization control strategy for wind farm fault ride-through based on model predictive control (MPC) is proposed. First, the total active and reactive power reference value of the wind farm under fault is obtained through droop control based on the point of common coupling (PCC) voltage. Secondly, based on a prediction state space model of the wind farm and a power-voltage sensitivity calculation formula, the mathematical model of the optimization problem based on MPC is established to minimize the voltage fluctuation at each wind turbine terminal. This problem is solved to obtain the active and reactive power reference value of each wind turbine. In the case of deep faults, the Static Var Generator (SVG) control is coordinated to compensate for the system reactive power shortage to maintain the stability of the PCC voltage. The simulation results show that the proposed control strategy can quickly and effectively stabilize the PCC point voltage and the wind turbine terminal voltage within a reasonable range, improving the fault ride-through capability of the wind farm. © 2022 Power System Protection and Control Press.
引用
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页码：12 / 20
页数：8
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