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333 / 2021-11-09 23:54:51
Diagnosis Method of Low Voltage Causes Based On Big Data
Distribution network, Voltage deviation, Low voltage, Diagnosis, Big data
Other topics in Electrical Engineering
Draft Rejected
Quanhong Liu / Hunan University
Junlian Lin / Hunan University
Chao Wu / Hunan University
"Low voltage" has always been a problem in the distribution network, and solving the problem is an important measure to improve the quality of power supply. How to scientifically define and evaluate the problem, efficiently analysis based on massive data, and discover problems or hidden dangers, is of great significance to the precise control of low voltage in the station area. This paper proposes a diagnosis method based on big data for the analysis of low voltage causes, which only needs the three-phase voltage and current of the low voltage side of the outlet and the voltage data of the 10kV line busbar of the station area, can quickly realize the cause of the low voltage at the outlet side. Through the pilot application of the pratical case, the method has good feedback and high accuracy, and can provide a good basis for the subsequent low-voltage management.

 
Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
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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