Self-triggering Fault Self-healing Test Based on Equivalence Class Division
编号:82 访问权限:仅限参会人 更新:2021-12-17 15:11:07 浏览:341次 张贴报告

报告开始:2021年12月17日 15:40(Asia/Shanghai)

报告时间:5min

所在会场:[Z] Poster Session [Z9] Poster Session 9: Power system and automation

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摘要
Aiming at the problems of incomplete testing of fault types, long fault cycle of point-by-point testing, and large test manual workload during the commissioning test of the fault self-healing function of the distribution network, a self-triggered fault self-healing test based on equivalence class division of fault points is proposed. Through model cross-section data restoration, automatic triggering of fault action equipment signals, and automatic verification of processing strategies, the automatic triggering, analysis and verification of faults at fault points are carried out. This method has the advantages of improving the test efficiency before the fault self-healing function is put into operation, comprehensive fault case test, reducing the manual simulation of fault action signal and manual judgment of test results, and improving the work efficiency.
 
关键词
distribution network;fault self-healing;equivalence class division;self-triggered test
报告人
Xue Qiao
State Grid Electric Power Research Institute

稿件作者
Xue Qiao State Grid Electric Power Research Institute
Jinyuan Shi State Grid Electric Power Research Institute
Yiran Zhang State Grid Electric Power Research Institute
Guoliang Chen State Grid Electric Power Research Institute
Guang Su State Grid Electric Power Research Institute
Yongjian Gong State Grid Electric Power Research Institute
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  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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