双馈风力发电场的建模及低电压穿越能力探究

Modeling of a Doubly-fed Induction Generator and Analysis of its Low-voltage Ride-through Capability

建立双馈机组的等值模型,以双馈风机桨距角控制动作情况作为分类依据,采用K-means聚类算法对机群进行分类;同时应用改进粒子群算法实现最优参数辨识,从而建立了电网故障情况下双馈风力机组的动态模型,分析了Crowbar电路在实现低电压穿越上的重要作用,其在故障期间和故障清除后均可平稳风电机组的功率,实现平稳的低电压穿越。

An equivalent model was built for doubly-fed induction generators （DFIGs）, which were classified into small clusters using K-means clustering algorithm according to specific control scenarios of the propeller pitch angle. In addition, the particle swarm optimization （POS） method was used to realize the identification of optimal parameters, thus establishing a dynamic model of DFIG in case of grid fault and analyzing the important effect of Crowbar circuit in realizing low-voltage ride through （LVRT）. The Crowbar circuit was proved to be effective in smoothing the power output of DFIG during fault period and after fault elimination.