基于热特性差异的GIL故障辨识研究
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(1.国网江苏省电力有限公司电力科学研究院,江苏 南京 211103;2.中国矿业大学,江苏 徐州 221008)

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赵 科(1985—),男,硕士,高工,研究方向为电网设备状态评价与检测;E-mail: 15105168884@163.com 丁 然(1980—),男,博士,高工,研究方向为开关设备管与检测诊断; 李洪涛(1987—),男,博士,高工,研究方向为电力设备状态检测与故障诊断。

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国家重点研发计划“矿山安全生产物联网关键技术与装备研发”(2017YFC0804400);国网江苏省电力有限公司科技项目(J2019009);废弃矿井抽水蓄能的多电源配电网优化调度与保护配置(六大人才)


Research on GIL fault identification based on thermal characteristic difference
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(1. State Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, China; 2. China University of Mining and Technology, Xuzhou 221008, China)

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    摘要:

    针对气体绝缘输电线路的过热类故障辨识所存在的判定方法不足和滞后性强的问题,提出了通过监测壳体温度并利用GIL热特性差异实现故障辨识的方法。首先,基于GIL温度场对壳体温度进行了研究。然后,定义温度变化率及其范围作为描述不同状态热特性差异的判据。最后建立GIL有限元模型,通过仿真验证以不同状态下的判据范围以及温度变化率作为判据的可行性。仿真结果表明不同运行状态下的温度变化率差异明显,并依此为判据可以准确辨识异常运行和短路故障。此外,该方法适用于各种敷设方式下的GIL,应用范围广,简单高效,为状态评估和运行维护提供了依据和方法。

    Abstract:

    To address the problem of insufficient and hysteretic determination methods for the identification of overheat faults on gas-insulated transmission lines, fault identification is proposed by monitoring the temperature of the enclosure and using GIL thermal characteristic difference. First, the temperature of the enclosure is studied based on the GIL temperature field. Then the change rate of temperature and its range is defined to be a criterion for describing the difference of thermal characteristics in different states. Finally, a GIL finite element model is established to verify the range of the criterion in different states and the feasibility of temperature change rate as a criterion. Simulation results show that there is a significant difference in the change rate of temperature in different operating conditions. This can accurately identify abnormal operation and short-circuit faults. In addition, this method is applicable to GIL in all lay-ups, and is simple and efficient, providing a basis and methodology for condition assessment and operation and maintenance. This work is supported by the National Key Research and Development Program "Research and Development of Key Technologies and Equipment for Safe Production of the Internet of Mines" (No. 2017YFC0804400), the Science and Technology Program of State Grid Jiangsu Electric Power Co., Ltd. (No. J2019009), and Optimal Dispatch and Protection Configuration of Multi-Power Distribution Network for Pumped Storage in Abandoned Mines (Six Talent Peaks Project).

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赵 科,丁 然,李洪涛,等.基于热特性差异的GIL故障辨识研究[J].电力系统保护与控制,2021,49(4):13-20.[ZHAO Ke, DING Ran, LI Hongtao, et al. Research on GIL fault identification based on thermal characteristic difference[J]. Power System Protection and Control,2021,V49(4):13-20]

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  • 收稿日期:2020-06-25
  • 最后修改日期:2020-12-03
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  • 在线发布日期: 2021-02-05
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