基于模型预测控制的风电场故障穿越有功无功优化控制策略

电网故障易造成并网风电场内风力发电机端电压骤变进而导致风力发电机跳闸,威胁风电场的安全运行.提出一种基于模型预测控制(Model Predictive Control,MPC)的风电场故障穿越有功无功优化控制策略.首先,基于下垂控制,根据并网点(Point of Common Coupling,PCC)电压得出故障下的...

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

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.This work is supported by the National Natural Science Foundation of China (No. 52077065).