基于多源数据多时间断面的配电网线路参数估计方法

基于可大规模部署的微型同步相量测量单元(μPMU),分析现阶段多种量测体系的特点,提出基于多源数据多时间断面的配电网线路参数估计方法,既利用μPMU采样快速性进行多时间断面量测数据融合,又利用μPMU的精确时标进行同一时间断面上的数据对齐,将多时间断面的μPMU、数据采集与监控、高级量测体系量测数据联合建立量测方程,在满足相互独立条件时开展最小二乘法参数估计。针对配电网典型的主干/分支接线模式构建参数估计模型,通过IEEE 33节点配电网仿真算例分析多种量测配置情况下的应用场景,结果证明了所提方法的有效性。

Estimation Method of Line Parameters in Distribution Network Based on Multi-source Data and Multi-time Sections

Based on the micro-synchronous phasor measurement unit(μPMU)that can be deployed on a large scale,the characteristics of various measurement systems at this stage are analyzed,and a parameter estimation method of lines in distribution networks based on multiple source data and multiple time sections is proposed.In this method,the fast sampling speed ofμPMU is used for the fusion of measurement data based on multiple time sections,and the precise time stamp ofμPMU is used for the aligment of mixed measurement data at the same time section.The measurement equations ofμPMU,supervisory control and data acquisition(SCADA)and advanced metering infrastructure(AMI)with multiple time sections are jointly established.If the equations are independent of each other,the least square method parameter estimation is performed.The parameter estimation model is constructed for the typical backbone/branch line mode of the distribution network.Through the IEEE 33-bus distribution network simulation example,the application of parameter estimation under various measurement configurations are analyzed to prove the effectiveness of the proposed method.