双馈风力发电系统双矢量模型预测电流控制

Prediction of current control for doubly-fed wind powergeneration systems based on a two-vector model

针对双馈风力发电系统传统模型预测电流控制中电流波动和转矩脉动较大的问题,提出一种双矢量模型预测电流控制策略。在一个采样周期中进行两次电压矢量选择,将第一阶段的最优矢量作为第二阶段的初值,结合候选电压矢量作用时间,计算最小代价函数,使候选电压矢量范围扩大,电压矢量选择更加精确。仿真结果表明:所提出的策略可以实现对双馈风力发电系统的有效控制,与矢量控制和传统模型预测电流控制相比,该策略有效降低了电流波动和电磁转矩脉动。

With an aim to predict current control,this paper proposes a two-vector model to solve the problem of large current fluctuation and torque ripple in the traditional predictive current control model of doubly-fed wind power generation systems.This model performs voltage vector selection twice in one sampling period.The optimal vector of the first stage is used as the initial value of the second stage,and,combined with the action time of the candidate voltage vector,the minimum cost function is calculated.As a result,the range of the candidate voltage vector is expanded and the voltage vector selection is more accurate.The simulation results show that the proposed strategy can achieve effective control of the doubly-fed wind power generation system.At the same time,compared with the vector control and the traditional predictive current control model,the strategy effectively reduces current fluctuation and electromagnetic torque ripple.