[1]刘 阳,王英英.基于大数据的输电线路阻抗参数预测方法[J].机械与电子,2021,(10):15-18.
 LIU Yang,WANG Yingying.Big Data-based Method for Predicting Transmission Line Impedance Parameters[J].Machinery & Electronics,2021,(10):15-18.
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基于大数据的输电线路阻抗参数预测方法()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年10期
页码:
15-18
栏目:
设计与研究
出版日期:
2021-10-24

文章信息/Info

Title:
Big Data-based Method for Predicting Transmission Line Impedance Parameters
文章编号:
1001-2257 ( 2021 ) 10-0015-04
作者:
刘 阳王英英
国家电网公司华中分部,湖北 武汉 430077
Author(s):
LIU Yang WANG Yingying
( Central China Branch of State Grid Corporation , Wuhan 430077 , China )
关键词:
大数据输电线路参数预测状态估计
Keywords:
big data transmission line parameter prediction state estimation
分类号:
TM755
文献标志码:
A
摘要:
为解决输电线路阻抗参数测量不准确等问题,提出了基于大数据的输电线路阻抗参数量测方法.对传统未换位导线的参数模型进行了分析,说明了 π 型等值网络中物理量的关系.分析了输电线路参数预测物理量以及估计的模型.对三相线路的潮流计算模型进行了分析,说明了以 SCADA 为量测系统的大数据输电线路参数预测方法.并针对负荷波动提出了准稳态状态估计方法.最后利用仿真模型进行了仿真分析,说明了所提方法的有效性.
Abstract:
In order to solve the problems of inaccurate measurement of transmission line impedance parameters , a measurement method of transmission line impedance parameters based on big data is proposed.The parameter model of the traditional untransposed wire is analyzed , and the relationship of the physical quantities in the π-type equivalent network is explained.The predicted physical quantities of transmission line parameters and the estimated model are analyzed.The power flow calculation model of the three-phase line is analyzed , and the big data transmission line parameter prediction method using SCADA as the measurement system is explained.A quasi-steady state estimation method is proposed for load fluctuations.Finally , a simulation analysis is carried out using a simulation model, which demonstrates the effectiveness of the method proposed in this paper.

参考文献/References:

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[2] 王开白,姜雨萌,刘家庆,等 . 输电线路零序参数的实用计算方法及系统[ J ] . 电力自动化设备,2021 , 41 ( 4 ):219-224.
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备注/Memo

备注/Memo:
收稿日期: 2021-06-01
作者简介:刘 阳 ( 1988- ),男,湖北京山人,博士,高级工程师,研究方向为高压电网继电保护;王英英 ( 1982- ),女,湖北荆门人,博士,高级工程师,研究方向为高压电网继电保护.
更新日期/Last Update: 2021-11-08