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基于 Vondrak 分区插值的 WAMS/SCADA 混合量测状态估计数据频率兼容性方案

吴星 刘天琪 李兴源 李从善 姚薇薇

电测与仪表Issue(13):56-62,82,8.
电测与仪表Issue(13):56-62,82,8.

基于 Vondrak 分区插值的 WAMS/SCADA 混合量测状态估计数据频率兼容性方案

Data frequency compatibility scheme of WAMS/SCADA hybrid measurements in state estimation based on Vondrak partition interpolation algorithm

吴星 1刘天琪 1李兴源 1李从善 1姚薇薇1

作者信息

  • 1. 四川大学电气信息学院,成都610065
  • 折叠

摘要

Abstract

In allusion to the current data frequency compatibility of hybrid measurements combined of supervisory con-trol and data acquisition (SCADA) and wide area measurement system (WAMS) applied in state estimation, based on the analysis of hybrid measurements data differences, a feasible solution for the frequency compatibility of hybrid measurements data was proposed.This paper divided interpolation area according to the data correlation of SCADA nodes based on data mining and Vondrak interpolation algorithm, and each partition used the same optimal smoothing factor of phasor measurement unit ( PMU) node to do Vondrak interpolation.We can get SCADA virtual measurement data corresponding to WAMS measurement time, which is applied to dynamic state estimation based on Unscented Kalman Filter ( UKF) .The method can not only augment SCADA virtual measurement data, improve the accuracy of measurement data and state estimation, and control the estimation error effectively when load in system changes rapid-ly,but also realizes observation of all bus voltages before and after faults.The simulation results of daily load changes and failure process in Institute of Electrical and Electronics Engineers ( IEEE) 118 node systems show the validity of data frequency compatibility method.

关键词

状态估计/SCADA/WAMS/数据频率兼容/数据挖掘/Vondrak插值算法/插值分区/UKF

Key words

state estimation/SCADA/WAMS/data frequency compatibility/data mining/Vondrak interpolation algo-rithm/interpolation partition/UKF

分类

信息技术与安全科学

引用本文复制引用

吴星,刘天琪,李兴源,李从善,姚薇薇..基于 Vondrak 分区插值的 WAMS/SCADA 混合量测状态估计数据频率兼容性方案[J].电测与仪表,2015,(13):56-62,82,8.

基金项目

国家自然科学基金资助项目 ()

电测与仪表

OA北大核心

1001-1390

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