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Combined Model Predictive Control Strategies to Improve the Reliability of IGBT Module in Doubly Fed Wind Power Converter

机译:组合模型预测控制策略可提高双馈风电变流器中IGBT模块的可靠性

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The reliability of the rotor side converter of doubly fed induction generator (DFIG) could be greatly degraded due to large junction temperature fluctuation and high power loss, a combined model predictive control strategy is proposed to reduce the junction temperature and switching loss. First, based on the structure of IGBT modules in DFIG wind power converter, the equivalent thermal network model is presented. Then, an improved maximum power point tracking control strategy, based on the power-speed outer control loop, is proposed by shortening the low frequency durations and increasing the speed gradient of the rotor side converter around synchronous speed. Furthermore, combined with the model predictive current control strategy, the switching loss of IGBT modules could be reduced. Finally, the dynamic performances of the junction temperature and power loss of IGBT modules are analyzed through the electrical-thermal model simulation and the equivalent experiment testing. Both simulation and experimental results show that the proposed control strategy could be effective to depress the IGBT junction temperature fluctuation and power loss.
机译:双结感应发电机(DFIG)的转子侧变流器的可靠性由于结温波动大和功率损耗高而大大降低,因此提出了一种组合模型预测控制策略来降低结温和开关损耗。首先,基于双馈风力发电机中IGBT模块的结构,提出了等效热网络模型。然后,通过缩短低频持续时间并在同步速​​度附近增加转子侧变流器的速度梯度,提出了一种基于功率速度外部控制回路的改进的最大功率点跟踪控制策略。此外,结合模型预测电流控制策略,可以降低IGBT模块的开关损耗。最后,通过电热模型仿真和等效实验测试,分析了IGBT模块的结温和功率损耗的动态性能。仿真和实验结果均表明,所提出的控制策略可以有效地抑制IGBT结温波动和功率损耗。

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