Intelligent Synchrophasor Data Real-Time Compression Framework for WAMS



  • Fall 2016-Summer 2017


Wide-Area Monitoring Systems (WAMS) have been widely accepted to provide real-time monitoring, protection, and control of power systems. The huge and rapidly increasing data volume in WAMS imposes a heavy burden on the communication and storage systems and could become the bottleneck for many real-time smart grid applications. This work aims to design a framework for intelligent lossy compression in a real-time manner for synchrophasor data in WAMS. The method should be able to achieve good compression ratios without introducing impractical delays and sacrificing much accuracy.


  • Wenyu Ren, Tim Yardley, Klara Nahrstedt, “ISAAC: Intelligent Synchrophasor Data Real-Time Compression Framework for WAMS”, IEEE International Conference on Smart Grid Communications (SmartGridComm): Data Management and Grid Analytics – S5. Data Management and Grid Analytics, Dresden, Germany, October 2017.

Funding Agencies

This project is supported by the Department of Energy (DOE), Office of Electricity Cyber Security for Energy Delivery Systems.