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Study for spatial magnetic field distribution of inter-turn short-circuit fault degree in dry air-core reactors

机译:干式空芯电抗器匝间短路故障程度的空间磁场分布研究

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Equipment can be burned with great losses when inter-turn short-circuit fault occurs in Dry-type Air-core Reactor (DAR). The finite element method and curve fitting method was used to put forward a method detect inter-turn short-circuit based on spatial magnetic field distribution of DAR. Firstly, the faults with different degree of inter-turn short circuit were set at different points in the fault simulation model. Secondly, the connection between inter-turn short-circuit fault and spatial magnetic field was obtained after the spatial magnetic field distribution along Axial Traverse in Center(ATC) and Lateral Traverse in Center(LTC) had been simulated and analyzed. Finally, the functions to detect the fault degree were established and verified with the variation of magnetic field at observation points and the fault degree as the fitting variables respectively. The results showed that the absolute errors between the results of functions and the actual value were little while the relative errors were within the error range allowed, which proved the availability of the functions simulated to detect fault.
机译:当干式空芯电抗器(DAR)发生匝间短路故障时,设备烧毁会造成巨大损失。运用有限元法和曲线拟合法,提出了一种基于DAR空间磁场分布的匝间短路检测方法。首先,在故障仿真模型的不同点设置不同匝间短路程度的故障。其次,在分析并分析了沿中心轴向(ATC)和沿中心横向(LTC)的空间磁场分布后,得出匝间短路故障与空间磁场之间的联系。最后,建立并验证了故障程度的检测功能,分别以观测点处的磁场变化和故障程度作为拟合变量。结果表明,函数结果与实际值之间的绝对误差很小,而相对误差在允许的误差范围内,证明了所仿真的函数可用于故障检测。

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