Wenyu Ren
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    • Online, Context-aware, Intelligent Anomaly Detection and Analysis for SCADA Systems
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    • Secure and Scalable Data Collection Protocol in Smart Grid
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Secure and Scalable Data Collection Protocol in Smart Grid

Advisor: Prof. Klara Nahrstedt
MONET Group in UIUC
December 2013–June 2014
Brief Introduction
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 project aims at designing a framework for intelligent lossy compression in a real-time manner for synchrophasor data in WAMS. 
Our Contribution
  • Our proposed framework 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.
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