Lossy Compression: An Online Multi-Stage Technology for High-Fidelity Synchro- Waveform Measurements

Effective real-time monitoring and analysis of distributed grids necessitate the use of synchro-waveform measurements, which capture almost all high-frequency disturbances and transient phenomena. However, due to limitations in high-speed measurements and network bandwidth, it is challenging to tran...

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Veröffentlicht in:IEEE transactions on industry applications Jg. 61; H. 3; S. 4290 - 4300
Hauptverfasser: Qiu, Wei, Yin, He, Wu, Yuru, Dong, Yuqing, Zheng, Yao, Yao, Wenxuan, Liu, Yilu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
Schlagworte:
Algorithms
Compression algorithms
Compression ratio
Data storage
Discrete Wavelet Transform
Discrete wavelet transforms
Effectiveness
Encoding
Error analysis
Extraterrestrial measurements
Field tests
High-fidelity synchro-waveform measurements
Hybrid compression algorithm
Image coding
Loss measurement
Markov chains
Noise
Real time
Real-time systems
Simulation
smart grid monitoring
Time compression
Time measurement
Voltage measurement
Waveforms
ISSN:0093-9994, 1939-9367, 1939-9367
Online-Zugang:Volltext
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Zusammenfassung:Effective real-time monitoring and analysis of distributed grids necessitate the use of synchro-waveform measurements, which capture almost all high-frequency disturbances and transient phenomena. However, due to limitations in high-speed measurements and network bandwidth, it is challenging to transfer all high-fidelity synchro-waveforms losslessly and successfully. To cope with these challenges, a hybrid-based online multi-stage compression algorithm is proposed to significantly improve the compression efficiency for synchro-waveform measurements. Initially, the multiple discrete Wavelet transformation is deployed to deconstruct the waveform components. The delta encoding is further developed to decrease the magnitude. In conjunction with the Lempel-Ziv-Markov chain, the hybrid compression algorithm is implemented to achieve real-time compression for the synchro-waveform measurements. Moreover, an innovative error index that synergizes the time and frequency domain error and correlation is formulated to evaluate the waveform distortion. By integrating compression ratio, suitable parameters can be optimally selected. Finally, the simulation, laboratory experiments, as well as field tests across a spectrum of sampling frequencies and time intervals are conducted to substantiate the efficacy of the proposed method. The outcomes demonstrated that a compression ratio of approximately 15.5 and 17.83 can be reached for 0.5 s and 1 s data under both offline and online scenarios, which equates to a substantial 93.5% to 94.39% reduction in data storage requirements.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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USDOE
National Natural Science Foundation of China
AC05-00OR22725
None
Natural Science Foundation of Human Province
ISSN:0093-9994
1939-9367
1939-9367
DOI:10.1109/TIA.2025.3532923