Comparative Research on Three State Estimation Algorithms Based on Data Compatibility of WAMS/SCADA
The data of wide area measurement system (WARMS) and supervisory control and data acquisition (SCADA) hybrid measurements applied in state estimation mainly have four aspects of compatibility issues:data components,time cross section,data accuracy and refresh rate.This paper analyzes the differences of WAMS/SCADA hybrid 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.
state estimationSCADAWAMSdata compatibilityVondrak interpolation algorithmnonlinear modellinear modelmixed model
NETL
NSTL
万方数据
维普
