Secure and Scalable Data Collection Protocol in Smart Grid
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.
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.
