@inproceedings{b4d201ee260d4ed99371e234cce009d7,
title = "ISAAC: Intelligent synchrophasor data real-time compression framework for WAMS",
abstract = "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 paper presents a framework for intelligent lossy compression in a real-time manner for synchrophasor data in WAMS. The proposed method is capable of achieving good compression ratios without introducing impractical delays and sacrificing much accuracy. Because disturbance data has much stricter delay and fidelity requirements, an early disturbance detection technique is introduced to identify disturbance data and handle it differently. The performance of the method is demonstrated by experiment results on real synchrophasor data collected from multiple substations.",
author = "Wenyu Ren and Timothy Yardley and Klara Nahrstedt",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 ; Conference date: 23-10-2017 Through 26-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/SmartGridComm.2017.8340688",
language = "English (US)",
series = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "430--436",
booktitle = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",
address = "United States",
}