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基于AMI量测信息的变压器参数辨识方法
引用本文:王高猛,么莉,王文文.基于AMI量测信息的变压器参数辨识方法[J].电力系统及其自动化学报,2019(6):38-42.
作者姓名:王高猛  么莉  王文文
作者单位:天津大学电气自动化与信息工程学院
基金项目:国家电网公司科学技术资助项目(KJ17-1-09)
摘    要:针对配电网变压器参数辨识的难题,本文提出基于高级量测体系(AMI)量测信息的配电变压器参数辨识方法。该方法首先基于AMI提供的多时段量测数据,建立关于双绕组变压器参数的非线性方程组,并采用最小二乘法对其进行求解;然后以各时段的变压器参数估计值为样本,采用随机样本的方差系数判据对样本中误差较大的参数估计值进行剔除,获得变压器参数新样本空间;最后基于新样本空间计算变压器参数的均值,并将其均值作为最终的参数估计值,进而实现变压器参数的辨识。算例证明了本文方法的可行性与有效性。

关 键 词:配电网  高级量测体系  双绕组变压器  参数辨识  最小二乘法

Identification Method for Transformer Parameters Based on AMI Metering Data
WANG Gaomeng,YAO Li,WANG Wenwen.Identification Method for Transformer Parameters Based on AMI Metering Data[J].Proceedings of the CSU-EPSA,2019(6):38-42.
Authors:WANG Gaomeng  YAO Li  WANG Wenwen
Affiliation:(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)
Abstract:Considering that it is difficult to identify the transformer parameters in distribution network,an identification method for transformer parameters based on advanced meter infrastructure(AMI)is presented in this paper. Based on the metering data provided by AMI during multiple periods,the nonlinear equations in terms of the parameters of a twowinding transformer are established at first,and the least square method is employed to solve these equations. Then, the estimation values of transformer parameters during each period are taken as samples,and the variance coefficient criterion for random samples is used to eliminate the estimation values with larger errors in the samples,thus a new sam. ple space of transformer parameters is obtained. At last,the mean value of transformer parameters is calculated based on the new sample space,which is further used as the final estimation value. In this way,the identification of transform. er parameters is realized. The result of a numerical example demonstrates that the proposed method is feasible and effec. tive.
Keywords:distribution network  advanced meter infrastructure  two-winding transformer  parameter identification  least square method
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