电网不平衡条件下DFIG低复杂度模型预测转子电流控制

Hann-Chung Wu, Hailiang Xu, Yufeng Zhang
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引用次数: 0

摘要

在电网不平衡状态下,双馈感应发电机(DFIG)风力发电机组的电磁转矩会产生两倍于电网频率的振荡,对风力发电机组的齿轮箱和轴系系统造成危害。尽管已经提出了各种抑制电磁转矩脉动的控制策略,但如何同时实现满意的动态响应和低复杂度仍然是一个难题。针对这一问题,本文提出了一种低复杂度模型预测直接转子电流控制(LC-MPDRCC)策略,并对控制延迟进行了补偿,详细讨论了参数变化的影响。仿真研究验证了该方法的有效性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Complexity Model Predictive Rotor Current Control of DFIG under Unbalanced Grid Condition
During unbalanced grid condition, the electromagnetic torque of the doubly fed induction generator (DFIG)-based wind turbine will contain oscillation at twice of the grid frequency, which is harmful to the gearbox and shafting system of the turbine. Though various control strategies have been proposed to suppress the electromagnetic torque ripple, it is still a difficult issue to achieve satisfactory dynamic response and low complexity, simultaneously. To settle this problem, this paper puts forward a low-complexity model predictive direct rotor current control (LC-MPDRCC) strategy, with the control delay being compensated and the effect of the parameters changes being discussed in detail. Simulation studies verify the effectiveness and feasibility of the proposed method.
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