학술논문

Enhancing Data Transmission and Storage Efficiency in Power Grids Through Compression of Point-on-Wave Data
Document Type
Conference
Source
2023 IEEE Industry Applications Society Annual Meeting (IAS) Industry Applications Society Annual Meeting (IAS), 2023 IEEE. :1-6 Oct, 2023
Subject
Power, Energy and Industry Applications
Measurement
Power system dynamics
Voltage
Propagation losses
Hybrid power systems
Power grids
Data communication
Waveform measurement
data compression
points-on-wave
event detection
hybrid solution methods
Language
ISSN
2576-702X
Abstract
This paper proposes an event-driven hybrid compression technique to effectively compress the Point-on-wave data of Grid-Edge current and voltage signals. An event identification function is utilized to detect the dynamic event, triggering the lossless compression for critical event signals without any information loss. For non-event signals, the lossy compression with higher compression ratio is activated to ensure efficient data transmission while preserving predefined critical information. Multiple lossless and lossy compression techniques are evaluated and the optimal selections are subsequently integrated into the proposed method. The performance of the proposed method is verified through an experiment using a generation trip signal, showcasing its ability to accurately detect events and preserve information during those events. Additionally, the proposed method reduces data size with an equivalent compression ratio of 16.7, enhancing the efficiency of data transmission and storage.