基于振动信号的城市电网变压器直流偏磁状态辨识方法
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TM406

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国家自然科学基金(51677153);贵州电网公司电科院项目(0666002019030101GY00014)


State identification method for transformer of urban power grid under DC bias based on vibration signal
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    摘要:

    针对城市轨道交通杂散电流引起的变压器直流偏磁问题,提出一种基于振动信号的城市电网变压器直流偏磁状态辨识方法,排除了短路故障、电网谐波干扰对状态辨识的影响。首先,分别对直流偏磁、短路故障、电网谐波干扰下的变压器振动信号的持续时间及频率特征进行分析,研究发现,相比于其他故障,在直流偏磁下变压器振动将加剧,振动信号频率分量复杂化,出现一系列高次谐波分量,特别是50 Hz奇倍频分量增加明显;然后基于此,利用振动信号除100Hz外的50Hz倍频分量的能量之和,排除短路故障对直流偏磁状态辨识的影响;其次,利用除 100Hz外的50Hz奇倍频分量与除100Hz外的50Hz倍频分量的能量之和的比值,排除电网谐波干扰对直流偏磁状态辨识的影响,以实现城轨杂散电流引起的变压器直流偏磁的状态辨识;最后,对现场实测数据进行分析及处理, 进一步验证该方法的准确性。

    Abstract:

    Aiming at the problem of transformer DC bias caused by the urban rail transit, this paper proposes a DC bias state identification method based on vibration signal for transformers of urban power grid. Firstly, the time of duration and the frequency characteristics of the transformer vibration signal under the conditions of DC bias, short fault and harmonic interference is analyzed. It is found that compared with other faults, the transformer vibration intensifies under DC magnetic bias. The frequency component of vibration signal becomes complex. A series of high-order harmonic components, especially the 50Hz odd double frequency component, increase significantly. Based on these phenomena, the influence of short circuit fault on DC bias state identification is eliminated by using the sum of energy of 50 Hz octave component of vibration signal except 100 Hz. Then, the ratio of the sum of the energy of 50 Hz odd octave components except 100 Hz over the sum of energy of 50 Hz octave components except 100 Hz is used to eliminate the influence of power grid harmonic interference on DC magnetic bias state identification, so as to realize the state identification of transformer DC magnetic bias caused by urban rail stray current. Finally, the on-site measured data is analyzed and processed to further verify the accuracy of proposed method.

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引用本文

刘君,牛唯,赵露,等.基于振动信号的城市电网变压器直流偏磁状态辨识方法[J].电力科学与技术学报,2021,36(5):169-178.
Liu Jun, Niu Wei, Zhao Lu, et al. State identification method for transformer of urban power grid under DC bias based on vibration signal[J]. Journal of Electric Power Science and Technology,2021,36(5):169-178.

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