基于WAMS/SCADA数据兼容的三种状态估计算法比较研究  

Comparative Research on Three State Estimation Algorithms Based on Data Compatibility of WAMS /SCADA

作　　者：吴星[1] 刘天琪[1] 李兴源[1] 李从善[1] 

机构地区：[1]四川大学电气信息学院,成都610065

出　　处：《华东电力》2014年第2期240-246,共7页East China Electric Power

基　　金：国家自然科学基金项目(51037003);国家重点基础研究发展计划(2013CB2280204)~~

摘　　要：当前应用于状态估计的广域测量系统(WARMS)和数据监控及采集系统(SCADA)混合量测数据主要存在数据成分、时间断面、数据精度和刷新频率四个方面的兼容性问题。分析了WAMS/SCADA混合量测数据兼容性差异,提出采用时延校正和分区Vondrak插值方法解决数据兼容问题,并在此基础上对状态估计的非线性、线性和混合模型作了对比。混合模型不进行量测变换,估计精度高,计算速度快,线性模型的量测变换和等效电流向量权重均随迭代更新,收敛性较非线性模型差。通过在IEEE 39节点系统上模拟日负荷变化验证了该结论的正确性。The data of wide area measurement system （WARMS） and supervisory control and data acquisition （SCA- DA） hybrid measurements applied in state estimation mainly have four aspects of compatibility issues： data compo- nents, time cross section, data accuracy and refresh rate. This paper analyzes the differences of WAMS/SCADA hy- brid measurements data, proposes a method to do time delay correction and Vondrak interpolation partly according to the data compatibility, then compares among the nonlinear model, linear model and mixed model of state estimation. Due to no measurements transformation, the mixed model has the highest estimation precision and fastest calculation among these three arithmetic models. Both the measurements transformation and weights of equivalent current vector update with the iteration, so the convergence of linear model is worse than nonlinear model. The simulation results of daily load changes in IEEE 39 node systems have verified the correctness of this conclusion.

关 键 词：状态估计 SCADA WAMS 数据兼容 Vondrak插值算法 非线性模型 线性模型 混合模型 

分 类 号：TM712[电气工程—电力系统及自动化]