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Monte Carlo Analysis of Circulating Currents in Random-Wound Electrical Machines

机译:随机绕组电机中循环电流的蒙特卡洛分析

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摘要

Electrical machines with stranded random windings often suffer from considerable circulating current losses. These losses have been poorly studied because of the difficulty and computational cost of modelling stranded windings, and the stochastic nature of the problem due to the uncertain positions of the strands. This paper proposes two methods to model random stranded windings of arbitrary complexity. Firstly, a circuit model considering the entire main flux path is presented, and some practical implementation considerations are discussed. Secondly, a computationally efficient finite element approach based on non-conforming meshing is presented. Finally, a method is proposed to model the random packing process of strands within a slot, without any re-meshing or inductance re-calculation required. The proposed methods are then compared to special no-rotor measurement data of a large number of high-speed induction machines, and a good agreement is observed.
机译:具有绞合随机绕组的电机通常遭受相当大的循环电流损耗。由于对绞合绕组建模的难度和计算成本以及由于绞合线位置不确定而导致的问题的随机性,对这些损耗的研究很少。本文提出了两种方法来对任意复杂度的随机绞合绕组建模。首先,给出了考虑整个主磁通路径的电路模型,并讨论了一些实际的实现注意事项。其次,提出了一种基于非协调网格的计算有效的有限元方法。最后,提出了一种方法来模拟缝隙内的股线的随机堆积过程,而无需任何重新网格化或电感重新计算。然后将所提出的方法与大量高速感应电机的特殊无转子测量数据进行比较,并观察到很好的一致性。

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