Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements

Wei Qiu; He Yin; Yuru Wu; Yuqing Dong; Yao Zheng; Wenxuan Yao; Yilu Liu

doi:10.1109/ETFG55873.2023.10407459

Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements

Wei Qiu, He Yin, Yuru Wu, Yuqing Dong, Yao Zheng, Wenxuan Yao, Yilu Liu

Grid-Interactive Controls

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Real-time monitoring and analysis of distributed grids require 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 this issue, a hybrid compression algorithm is proposed to significantly improve the compression efficiency for synchro-waveform measurements. Additionally, an error-index that combines the time and frequency domain error and correlation is developed to evaluate the waveform distortion. By integrating compression ratio, suitable parameters can be optimally selected. Finally, the simulation and laboratory experiments are conducted to verify the effectiveness of the proposed algorithm. The results demonstrate that a compression ratio of approximately 13 can be reached, corresponding to a 92.3% reduction in data space.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10407459
State	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: Dec 3 2023 → Dec 6 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	12/3/23 → 12/6/23

Funding

This material is based upon work supported by the China Postdoctoral Science Foundation under numbers BX20220102 and 2022M721084, in part by the Natural Science Youth Fund Foundation of Hunan Province under Grant 2023JJ40151, and in part by the Changsha National Natural Science Foundation under number kq2208027.

Keywords

High-fidelity synchro-waveform measurements
Hybrid compression algorithm
smart grid monitoring

Access to Document

10.1109/ETFG55873.2023.10407459

Cite this

Qiu, W., Yin, H., Wu, Y., Dong, Y., Zheng, Y., Yao, W., & Liu, Y. (2023). Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10407459

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title = "Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements",

abstract = "Real-time monitoring and analysis of distributed grids require 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 this issue, a hybrid compression algorithm is proposed to significantly improve the compression efficiency for synchro-waveform measurements. Additionally, an error-index that combines the time and frequency domain error and correlation is developed to evaluate the waveform distortion. By integrating compression ratio, suitable parameters can be optimally selected. Finally, the simulation and laboratory experiments are conducted to verify the effectiveness of the proposed algorithm. The results demonstrate that a compression ratio of approximately 13 can be reached, corresponding to a 92.3\% reduction in data space.",

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author = "Wei Qiu and He Yin and Yuru Wu and Yuqing Dong and Yao Zheng and Wenxuan Yao and Yilu Liu",

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doi = "10.1109/ETFG55873.2023.10407459",

language = "English",

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Qiu, W, Yin, H, Wu, Y, Dong, Y, Zheng, Y, Yao, W & Liu, Y 2023, Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 12/3/23. https://doi.org/10.1109/ETFG55873.2023.10407459

Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements. / Qiu, Wei; Yin, He; Wu, Yuru et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements

AU - Qiu, Wei

AU - Yin, He

AU - Wu, Yuru

AU - Dong, Yuqing

AU - Zheng, Yao

AU - Yao, Wenxuan

AU - Liu, Yilu

PY - 2023

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AB - Real-time monitoring and analysis of distributed grids require 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 this issue, a hybrid compression algorithm is proposed to significantly improve the compression efficiency for synchro-waveform measurements. Additionally, an error-index that combines the time and frequency domain error and correlation is developed to evaluate the waveform distortion. By integrating compression ratio, suitable parameters can be optimally selected. Finally, the simulation and laboratory experiments are conducted to verify the effectiveness of the proposed algorithm. The results demonstrate that a compression ratio of approximately 13 can be reached, corresponding to a 92.3% reduction in data space.

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Qiu W, Yin H, Wu Y, Dong Y, Zheng Y, Yao W et al. Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10407459

Design of A Hybrid Compression Algorithm for High-fidelity Synchro-waveform Measurements

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