Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems
The subsynchronous oscillations (SSOs) related to renewable generation seriously affect the stability and safety of the power systems. To realize the dynamic monitoring of SSOs by utilizing the high computational efficiency and noise-resilient features of the matrix pencil method (MPM), this paper p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10177689/ |
| _version_ | 1797346316489064448 |
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| author | Xiaoxue Zhang Fang Zhang Wenzhong Gao Jinghan He |
| author_facet | Xiaoxue Zhang Fang Zhang Wenzhong Gao Jinghan He |
| author_sort | Xiaoxue Zhang |
| collection | DOAJ |
| description | The subsynchronous oscillations (SSOs) related to renewable generation seriously affect the stability and safety of the power systems. To realize the dynamic monitoring of SSOs by utilizing the high computational efficiency and noise-resilient features of the matrix pencil method (MPM), this paper proposes an improved MPM-based parameter identification with synchrophasors. The MPM is enhanced by the angular frequency fitting equations based on the characteristic polynomial coefficients of the matrix pencil to ensure the accuracy of the identified parameters, since the existing eigenvalue solution of the MPM ignores the angular frequency conjugation constraints of the two fundamental modes and two oscillation modes. Then, the identification and recovery of bad data are proposed by utilizing the difference in temporal continuity of the synchrophasors before and after noise reduction. The proposed parameter identification is verified with synthetic, simulated, and actual measured phase measurement unit (PMU) data. Compared with the existing MPM, the improved MPM achieves better accuracy for parameter identification of each component in SSOs, better real-time performance, and significantly reduces the effect of bad data. |
| first_indexed | 2024-03-08T11:30:19Z |
| format | Article |
| id | doaj.art-ad9e56239bc649c0a1b7e4ed564d25a3 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-03-08T11:30:19Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-ad9e56239bc649c0a1b7e4ed564d25a32024-01-26T00:01:58ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202024-01-01121223310.35833/MPCE.2022.00076610177689Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power SystemsXiaoxue Zhang0Fang Zhang1Wenzhong Gao2Jinghan He3School of Electrical Engineering, Beijing Jiaotong University,Beijing,China,100044School of Electrical Engineering, Beijing Jiaotong University,Beijing,China,100044University of Denver,Department of Electrical and Computer Engineering,Denver,USASchool of Electrical Engineering, Beijing Jiaotong University,Beijing,China,100044The subsynchronous oscillations (SSOs) related to renewable generation seriously affect the stability and safety of the power systems. To realize the dynamic monitoring of SSOs by utilizing the high computational efficiency and noise-resilient features of the matrix pencil method (MPM), this paper proposes an improved MPM-based parameter identification with synchrophasors. The MPM is enhanced by the angular frequency fitting equations based on the characteristic polynomial coefficients of the matrix pencil to ensure the accuracy of the identified parameters, since the existing eigenvalue solution of the MPM ignores the angular frequency conjugation constraints of the two fundamental modes and two oscillation modes. Then, the identification and recovery of bad data are proposed by utilizing the difference in temporal continuity of the synchrophasors before and after noise reduction. The proposed parameter identification is verified with synthetic, simulated, and actual measured phase measurement unit (PMU) data. Compared with the existing MPM, the improved MPM achieves better accuracy for parameter identification of each component in SSOs, better real-time performance, and significantly reduces the effect of bad data.https://ieeexplore.ieee.org/document/10177689/Subsynchronous oscillations (SSOs)synchrophasorparameter identificationmatrix pencil methodbad data |
| spellingShingle | Xiaoxue Zhang Fang Zhang Wenzhong Gao Jinghan He Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems Journal of Modern Power Systems and Clean Energy Subsynchronous oscillations (SSOs) synchrophasor parameter identification matrix pencil method bad data |
| title | Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems |
| title_full | Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems |
| title_fullStr | Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems |
| title_full_unstemmed | Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems |
| title_short | Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems |
| title_sort | improved subsynchronous oscillation parameter identification with synchrophasor based on matrix pencil method in power systems |
| topic | Subsynchronous oscillations (SSOs) synchrophasor parameter identification matrix pencil method bad data |
| url | https://ieeexplore.ieee.org/document/10177689/ |
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