摘要详情

ID / 提交时间

333 / 2021-11-09 23:54:51

标题

Diagnosis Method of Low Voltage Causes Based On Big Data

关键字

Distribution network, Voltage deviation, Low voltage, Diagnosis, Big data

主题及专题

Other topics in Electrical Engineering

状态

全文被拒

作者

Quanhong Liu / Hunan University

Junlian Lin / Hunan University

Chao Wu / Hunan University

摘要

"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.

重要日期

会议日期

07月11日

2023

至

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