Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm
This paper investigates the stability mechanisms and suppression strategies for sub-synchronous oscillations (SSOs) in hybrid wind farms (HWFs) consisting of doubly-fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG)-based wind turbines. To address the challenges in miti...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/1/140 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841549196246646784 |
|---|---|
| author | Yun Wang Mingkun Liang Feilong Xie Chaoyang Long Rong Yang |
| author_facet | Yun Wang Mingkun Liang Feilong Xie Chaoyang Long Rong Yang |
| author_sort | Yun Wang |
| collection | DOAJ |
| description | This paper investigates the stability mechanisms and suppression strategies for sub-synchronous oscillations (SSOs) in hybrid wind farms (HWFs) consisting of doubly-fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG)-based wind turbines. To address the challenges in mitigating SSOs due to the complex interactions between the generators in hybrid wind farms, as well as external and parameters disturbances, a state-space model of the HWF is developed to capture the impact of external disturbances and parameter uncertainties on system dynamics. Through eigenvalue and participation factor analyses, this paper examines the effects of uncertainties in voltage control parameters, grid line series compensation, and the fluctuating power outputs of DFIGs and PMSGs on SSO behavior. A robust SSO suppression controller based on H<sub>∞</sub> theory is proposed, demonstrating a substantial reduction in harmonic distortion and improved settling time compared to conventional control strategies under varying disturbances. The simulation results show that the proposed controller significantly enhances the system’s resilience to disturbances and uncertainties, effectively mitigating SSO and improving overall system stability. |
| format | Article |
| id | doaj-art-0a4bf713c817485d82898e784e21ae98 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-0a4bf713c817485d82898e784e21ae982025-01-10T13:17:13ZengMDPI AGEnergies1996-10732025-01-0118114010.3390/en18010140Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind FarmYun Wang0Mingkun Liang1Feilong Xie2Chaoyang Long3Rong Yang4College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaCollege of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaThis paper investigates the stability mechanisms and suppression strategies for sub-synchronous oscillations (SSOs) in hybrid wind farms (HWFs) consisting of doubly-fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG)-based wind turbines. To address the challenges in mitigating SSOs due to the complex interactions between the generators in hybrid wind farms, as well as external and parameters disturbances, a state-space model of the HWF is developed to capture the impact of external disturbances and parameter uncertainties on system dynamics. Through eigenvalue and participation factor analyses, this paper examines the effects of uncertainties in voltage control parameters, grid line series compensation, and the fluctuating power outputs of DFIGs and PMSGs on SSO behavior. A robust SSO suppression controller based on H<sub>∞</sub> theory is proposed, demonstrating a substantial reduction in harmonic distortion and improved settling time compared to conventional control strategies under varying disturbances. The simulation results show that the proposed controller significantly enhances the system’s resilience to disturbances and uncertainties, effectively mitigating SSO and improving overall system stability.https://www.mdpi.com/1996-1073/18/1/140DFIGPMSGsub-synchronous oscillationH<sub>∞</sub> theoryhybrid wind farm |
| spellingShingle | Yun Wang Mingkun Liang Feilong Xie Chaoyang Long Rong Yang Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm Energies DFIG PMSG sub-synchronous oscillation H<sub>∞</sub> theory hybrid wind farm |
| title | Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm |
| title_full | Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm |
| title_fullStr | Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm |
| title_full_unstemmed | Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm |
| title_short | Sub-Synchronous Oscillation Analysis and Suppression in Hybrid Wind Farm |
| title_sort | sub synchronous oscillation analysis and suppression in hybrid wind farm |
| topic | DFIG PMSG sub-synchronous oscillation H<sub>∞</sub> theory hybrid wind farm |
| url | https://www.mdpi.com/1996-1073/18/1/140 |
| work_keys_str_mv | AT yunwang subsynchronousoscillationanalysisandsuppressioninhybridwindfarm AT mingkunliang subsynchronousoscillationanalysisandsuppressioninhybridwindfarm AT feilongxie subsynchronousoscillationanalysisandsuppressioninhybridwindfarm AT chaoyanglong subsynchronousoscillationanalysisandsuppressioninhybridwindfarm AT rongyang subsynchronousoscillationanalysisandsuppressioninhybridwindfarm |