Presentation: Oscillation Monitoring for Large Power Systems

PMU based Wide Area Measurement systems such as the Entergy's PMU based system typically include over 100 sensors collecting nearly 3 TB of PI data per month into the PI Data Archive. These data contain low amplitude signals that are analyzed to detect un-observed oscillation events from ambient synchrophasor data collected from wide-area electric power systems. There are over 1500 PMUs installed in US Transmission systems, including BPA, PGE, SCE, ATC, Idaho Power, PJM, TVA, Southern Company, NYISO, NE-ISO and many other utilities. Sophisticated signal processing algorithms have been implemented using the PI AFSDK to develop data mining oscillation modules called Damping Monitor Offline (DMO) and Event Analysis Offline (EAO) developed at Washington State University. The software packages are currently being used at Entergy Corporation for the study of the increasing trends of the oscillatory modes of the Eastern Interconnection due in part to the increasing use of un-monitored distributed energy resources entering the grid and aging generator control systems. Users can retrieve and analyze extensive data sets from hundreds of PMU signals in a few minutes time on a regular desktop computer. The software packages are available to other Utility companies using the PI System that have concerns about the oscillatory behavior of the power system. Entergy have shown that the analysis works on the data directly extracted from the PI Data Archive. This talk introduces these advanced tools to the broader PI System community and illustrate the suitability and efficiency of the PI System for handling very large volumes of high speed time synchronized data for use in Data Mining applications.