Litcius/Paper detail

Real-Time Lossless Compression for Ultrahigh-Density Synchrophasor and Point-on-Wave Data

Chang Chen, Weikang Wang, He Yin, Lingwei Zhan, Yilu Liu

2021IEEE Transactions on Industrial Electronics22 citationsDOIOpen Access PDF

Abstract

Modern advanced phasor measurement units are developed with ultrahigh reporting rates to meet the demand for monitoring the power systems dynamics in detail. Due to the large volume of data, the communication and storage systems are seriously challenged with the presence of ultrahigh-density (UHD) synchrophasor and point-on-wave (POW) data. Therefore, it is an urgent task to compress the UHD data for more efficient communication and data storage. This article proposes several methods to compress the synchrophasor and POW data in a lossless manner. First, an improved time-series special compression (ITSSC) method is proposed to compress the UHD frequency data. Second, a delta-difference Huffman method is combined with the time-series special compression algorithm to compress the UHD phase angle data. Finally, a cyclical high-order delta modulation method is proposed to compress the UHD POW data. The proposed models are extensively tested and compared with different existing lossless compression algorithms using the field-collected synchrophasor and POW data at different reporting rates. The results indicate that the proposed algorithms are efficient in performing lossless compression for the UHD synchrophasor and POW data in real time.

Topics & Concepts

Lossless compressionComputer scienceData compressionLossy compressionVolume (thermodynamics)Data compression ratioPhasorPoint (geometry)Real-time computingHuffman codingAlgorithmElectric power systemPower (physics)Image compressionArtificial intelligenceMathematicsGeometryImage processingImage (mathematics)PhysicsQuantum mechanicsPower System Optimization and StabilityPower Systems Fault DetectionPower Line Communications and Noise