A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement
The digitalization level of the new power system driven by “dual carbon” is increasing, leading to a growth in the amount of data that need to be acquired. This has intensified the contradiction between data volume and acquisition capacity. Therefore, it is urgent to study compressed data acquisitio...
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MDPI AG
2024-11-01
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| author | Shan Yang Zhirong Gao Jingbo Guo |
| author_facet | Shan Yang Zhirong Gao Jingbo Guo |
| author_sort | Shan Yang |
| collection | DOAJ |
| description | The digitalization level of the new power system driven by “dual carbon” is increasing, leading to a growth in the amount of data that need to be acquired. This has intensified the contradiction between data volume and acquisition capacity. Therefore, it is urgent to study compressed data acquisition methods for power systems based on data compression. In this regard, a novel compressed data acquisition method based on chaotic compressive measurement with the compressed sensing principle is proposed. Firstly, the advantages of applying compressed sensing are analyzed for data acquisition in power systems, and the key issues that need to be addressed are identified. Subsequently, a chaotic map is sampled based on the basic requirements of the measurement matrix in compressed sensing, and the chaotic compressive measurement matrix is constructed and optimized based on the sampling results. Next, the sparse data difference of the power system is used as the compression target for the optimized chaotic measurement matrix, and an acquisition process is designed to recover the complete power data from a small amount of compressed data. Finally, the proposed method is validated in a case study, and the results demonstrate that the method is correct and effective. |
| format | Article |
| id | doaj-art-db33be1f0d334608adb28c5c3f6f8c40 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-db33be1f0d334608adb28c5c3f6f8c402024-12-13T16:31:44ZengMDPI AGSensors1424-82202024-11-012423749910.3390/s24237499A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive MeasurementShan Yang0Zhirong Gao1Jingbo Guo2College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, ChinaCollege of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaThe digitalization level of the new power system driven by “dual carbon” is increasing, leading to a growth in the amount of data that need to be acquired. This has intensified the contradiction between data volume and acquisition capacity. Therefore, it is urgent to study compressed data acquisition methods for power systems based on data compression. In this regard, a novel compressed data acquisition method based on chaotic compressive measurement with the compressed sensing principle is proposed. Firstly, the advantages of applying compressed sensing are analyzed for data acquisition in power systems, and the key issues that need to be addressed are identified. Subsequently, a chaotic map is sampled based on the basic requirements of the measurement matrix in compressed sensing, and the chaotic compressive measurement matrix is constructed and optimized based on the sampling results. Next, the sparse data difference of the power system is used as the compression target for the optimized chaotic measurement matrix, and an acquisition process is designed to recover the complete power data from a small amount of compressed data. Finally, the proposed method is validated in a case study, and the results demonstrate that the method is correct and effective.https://www.mdpi.com/1424-8220/24/23/7499data acquisition methodnew power systemcompressed sensingchaotic measurement matrixcompressed acquisition |
| spellingShingle | Shan Yang Zhirong Gao Jingbo Guo A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement Sensors data acquisition method new power system compressed sensing chaotic measurement matrix compressed acquisition |
| title | A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement |
| title_full | A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement |
| title_fullStr | A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement |
| title_full_unstemmed | A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement |
| title_short | A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement |
| title_sort | new compressed data acquisition method for power system based on chaotic compressive measurement |
| topic | data acquisition method new power system compressed sensing chaotic measurement matrix compressed acquisition |
| url | https://www.mdpi.com/1424-8220/24/23/7499 |
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