Power System Data Validation and State Calculation by Network Search Techniques

Abstract

A real-time data base for power system monitoring and control must provide an accurate and reliable representation of the system state, based on the available measurements, indications and network parameters. The well-established method for achieving this goal is static state estimation, which calculates a best fit of the measurements onto the network model. A new approach is proposed in this paper, wherein state calculation and data validation are performed by a sequential search through the network graph. It is shown that data validation can be achieved without the usual data fitting. The technique requires modest computing times and features novel properties for bad data identification. The method has been implemented and tested on several standard network models. Once data validation is completed, static state estimation may be performed if a best fit of the measurements is desired.