Wavelet-based data compression for wide-area measurement data of oscillations
Abstract This paper proposes a wavelet-based data compression method to compress the recorded data of oscillations in power systems for wide-area measurement systems. Actual recorded oscillations and simulated oscillations are compressed and reconstructed by the wavelet-based data compression method...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-07-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40565-018-0424-2 |
| _version_ | 1818645705489645568 |
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| author | Lin CHENG Xinchi JI Fang ZHANG He HUANG Song GAO |
| author_facet | Lin CHENG Xinchi JI Fang ZHANG He HUANG Song GAO |
| author_sort | Lin CHENG |
| collection | DOAJ |
| description | Abstract This paper proposes a wavelet-based data compression method to compress the recorded data of oscillations in power systems for wide-area measurement systems. Actual recorded oscillations and simulated oscillations are compressed and reconstructed by the wavelet-based data compression method to select the best wavelet functions and decomposition scales according to the criterion of the minimum compression distortion composite index, for a balanced consideration of compression performance and reconstruction accuracy. Based on the selections, the relationship between the oscillation frequency and the corresponding optimal wavelet and scale is discussed, and a piecewise linear model of the base-2 logarithm of the frequency and the order of the wavelet is developed, in which different pieces represent different scales. As a result, the wavelet function and decomposition scale can be selected according to the oscillation frequency. Compared with the wavelet-based data compression method with a fixed wavelet scale for disturbance signals and the real-time data compression method based on exception compression and swing door trending for oscillations, the proposed method can provide high compression ratios and low distortion rates. |
| first_indexed | 2024-12-17T00:34:59Z |
| format | Article |
| id | doaj.art-6be01d11e11f46aa8c59f8de1fe909ee |
| institution | Directory Open Access Journal |
| issn | 2196-5625 2196-5420 |
| language | English |
| last_indexed | 2024-12-17T00:34:59Z |
| publishDate | 2018-07-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-6be01d11e11f46aa8c59f8de1fe909ee2022-12-21T22:10:10ZengIEEEJournal of Modern Power Systems and Clean Energy2196-56252196-54202018-07-01661128114010.1007/s40565-018-0424-2Wavelet-based data compression for wide-area measurement data of oscillationsLin CHENG0Xinchi JI1Fang ZHANG2He HUANG3Song GAO4State Key Laboratory of Control and Simulation of Power System and Generation Equipment, Tsinghua UniversityState Key Laboratory of Control and Simulation of Power System and Generation Equipment, Tsinghua UniversityState Key Laboratory of Control and Simulation of Power System and Generation Equipment, Tsinghua UniversityState Grid Jiangsu Electric Power CompanyState Grid Jiangsu Electric Power CompanyAbstract This paper proposes a wavelet-based data compression method to compress the recorded data of oscillations in power systems for wide-area measurement systems. Actual recorded oscillations and simulated oscillations are compressed and reconstructed by the wavelet-based data compression method to select the best wavelet functions and decomposition scales according to the criterion of the minimum compression distortion composite index, for a balanced consideration of compression performance and reconstruction accuracy. Based on the selections, the relationship between the oscillation frequency and the corresponding optimal wavelet and scale is discussed, and a piecewise linear model of the base-2 logarithm of the frequency and the order of the wavelet is developed, in which different pieces represent different scales. As a result, the wavelet function and decomposition scale can be selected according to the oscillation frequency. Compared with the wavelet-based data compression method with a fixed wavelet scale for disturbance signals and the real-time data compression method based on exception compression and swing door trending for oscillations, the proposed method can provide high compression ratios and low distortion rates.http://link.springer.com/article/10.1007/s40565-018-0424-2Data compressionOscillationWavelet transformWide-area measurement system (WAMS) |
| spellingShingle | Lin CHENG Xinchi JI Fang ZHANG He HUANG Song GAO Wavelet-based data compression for wide-area measurement data of oscillations Journal of Modern Power Systems and Clean Energy Data compression Oscillation Wavelet transform Wide-area measurement system (WAMS) |
| title | Wavelet-based data compression for wide-area measurement data of oscillations |
| title_full | Wavelet-based data compression for wide-area measurement data of oscillations |
| title_fullStr | Wavelet-based data compression for wide-area measurement data of oscillations |
| title_full_unstemmed | Wavelet-based data compression for wide-area measurement data of oscillations |
| title_short | Wavelet-based data compression for wide-area measurement data of oscillations |
| title_sort | wavelet based data compression for wide area measurement data of oscillations |
| topic | Data compression Oscillation Wavelet transform Wide-area measurement system (WAMS) |
| url | http://link.springer.com/article/10.1007/s40565-018-0424-2 |
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