Real-time dynamic state estimation using synchrophasor data

Abstract

Real-time state estimation is one of the important tools for modern control center operation in this smart grid era. Efficient and accurate dynamic state estimation is essential for a reliable operation of power system. Synchrophasor technology or PMU devices provide the technological advantage to perform efficient and accurate dynamic real-time state estimation. In this study, a real-time dynamic state estimation tool with graphical user interface (GUI) has been developed and tested. It involves the setup of a phasor data concentrator (PDC) with SQL server database which stores streaming phasor measurements coming over the Internet. A new algorithm to identify the optimal PMU placements is also proposed in this study. It is found that this new algorithm is computationally very fast and efficient. A real-time simulation model of IEEE 39 Bus system has been developed in Real-Time Digital Simulator (RTDS) and is used to stream phasor data from the real-time simulation. OpenPDC has been used as PDC front-end software and MS SQL server has been used as back-end PDC database server. MATLAB has been used to develop real-time state estimator tool with GUI and successful testing has been performed.