基于巴氏系数的变压器励磁涌流和故障差流识别新判据
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(1.三峡大学梯级水电站运行与控制湖北省重点实验室,湖北 宜昌 443002;2.三峡电能有限公司, 湖北 宜昌 443002;3.国网湖北省电力有限公司检修公司,湖北 宜昌 443000)

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翁汉(1980—),女,博士,副教授/高级工程师,研究方向为电力系统分析、继电保护与控制;E-mail:honey_weng@163.com
陈 皓(1996—),男,通信作者,硕士研究生,研究方向为电力系统分析、继电保护与控制。E-mail:727397340@ qq.com

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国家自然科学基金项目资助(51607106);湖北省梯级水电站运行与控制重点实验室(三峡大学)开放基金资助项目(2018KJX05)


A novel criterion to distinguish inrush current from fault current based on the Bhattacharyya coefficient
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(1. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China;2. Three Gorges Electric Energy Co., Ltd., Yichang 443002, China;3. Maintenance Company of State Grid Hubei Electric Power Co., Ltd., Yichang 443000, China)

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    摘要:

    传统变压器励磁涌流识别方法在复杂电磁环境以及电流互感器(CT)饱和等情况下会受到干扰而导致保护动作速度变慢或者误动。为解决此问题,提出一种利用电流波形分布特征识别励磁涌流的变压器差动保护新判据。结合巴氏系数图像匹配算法,对比差动电流和正弦信号的波形相似度以区分励磁涌流和故障电流。并利用PSCAD/EMTDC软件仿真以及动模试验验证了该判据在变压器空载合闸、区内和区外故障、带故障合闸以及CT饱和等工况下的有效性。

    Abstract:

    Because of a complicated electromagnetic environment and Current Transformer (CT) saturation, the conventional methods of transformer inrush current identification may operate with a long time delay or even mal-operate. To solve this problem, a new magnetizing inrush identification method based on the distribution characteristics of the current waveform is proposed. The fault differential current and inrush current are distinguished by comparing the waveform similarity between the differential current and the sinusoidal signal using the Bhattacharyya coefficient. Based on a PSCAD/EMTDC simulation and dynamic experiment tests, the validity of the criterion is verified under the conditions of unloaded transformer energization, internal and external faults, energizations with faults and CT saturation, as well as faults accompanied with CT saturation. This work is supported is supported by National Natural Science Foundation of China (No. 51607106) and Open Foundation of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (China Three Gorges University) (No. 2018KJX05).

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翁汉,陈皓,万毅,等.基于巴氏系数的变压器励磁涌流和故障差流识别新判据[J].电力系统保护与控制,2020,48(10):113-122.[WENG Hanli, CHEN Hao, WAN Yi, et al. A novel criterion to distinguish inrush current from fault current based on the Bhattacharyya coefficient[J]. Power System Protection and Control,2020,V48(10):113-122]

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  • 收稿日期:2019-07-11
  • 最后修改日期:2019-09-19
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  • 在线发布日期: 2020-05-16
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