A Ping-Pong Self-detection based Online No-dead-time Detection Method for the Tripping-and-closing Circuit
编号:138 访问权限:仅限参会人 更新:2020-11-11 12:09:46 浏览:139次 张贴报告

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摘要
Currently, the detection of the Process layer equipment and circuits between breakers is mainly realized through the control circuit. However, the control circuit cannot detect the status of the tripping-and-closing contacts and straps, leading to the failure of the operation of the process layer equipment. To solve this problem, this paper proposes a ping-pong self-detection based online no-dead-time detection method for the tripping-and-closing circuit. Firstly, the topology structure of the existing tripping-and-closing circuits of protections is improved. A contact of the tripping-and-closing relays and the corresponding optocoupler circuit are added. Then, based on the improved control circuit, the self-detection is completed according to the optocoupler acquisition status by sequentially opening and closing the contact of the tripping-and-closing relays without forming a tripping and closing circuit. The proposed method can improve the reliability of the control circuit, avoiding the failure of the operation of the equipment. The test and on-site pilot validate the effectiveness of the proposed detection method.
关键词
optocoupler circuit,,Online Detection,ping-pong self-detection,ping-pong self-detection,on-site pilot
报告人
Shuang Song
Engineering State Grid Jiangsu Electric Power Limited Company Research Institute

稿件作者
Liangliang Song State Grid Jiangsu Electric Power Limited Company Research Institute
Lie Zhang China Electric Power Research Institute
Yi Yang State Grid Jiangsu Electric Power Limited Company Research Institute
Chenqing Wang State Grid Jiangsu Electric Power Limited Company Research Institute
Shi Chen State Grid Jiangsu Electric Power Limited Company Research Institute
Shuang Song State Grid Jiangsu Electric Power Limited Company Research Institute
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重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

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Xi'an Jiaotong University
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