Auto detection of power system events using wide area frequency measurements

The wide area frequency measurement system has been installed at several locations in power system. There are plans to install phasor measurements units (PMU) at almost all high voltage substations. The volume of data obtained from such systems is very large. While most of the time the power system is in ambient condition, however there are always several events per day occurring in the system. This paper presents a method to automatically detect such events from wide area frequency measurement data. The PMUs measure bus voltage frequency communicate them to a central location in real time at rate of one sample per power system cycle. These measurements are be fed to the auto event detection algorithm. The method of detection of event occurrence identification, event classification and exact instance of event occurrence identification is presented. The issues encountered in implementing such scheme is discussed in the paper.