STATE-MATRIX-INDEPENDENT DYNAMIC PROCESS ESTIMATION METHOD IN REAL-TIME FOR WEAKLY OBSERVABLE MEASUREMENT NODES WITHOUT PMU

摘要

A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without PMU is only dependent on real-time measurement dynamic data of measurement nodes with Phasor Measurement Unit (PMU) and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.