Process-oriented State Estimation using Innovation Network Graph Based PMUs

Abstract

The advent of PMU-based WAMS provides a chance to improve the traditional state estimation, AC load flow model innovation (network) graph state estimation based PMUs is a new but effective estimation algorithm. By using it, this paper carries out process-oriented state estimation using all the measurements within a period of time, which can provide characteristic states within a process of time. In order to develop the new method, the operating process is divided into several processes and sub-processes according to the topology change. In each process or sub-process, a characteristic state is derived which can represent the average status of this process or sub- process. In order to compute the expected states, an expected innovation network graph is derived. The IEEE-5 bus system is used to illustrate the effectiveness of the new method.