Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control
With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines po...
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| Format: | Article |
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MDPI AG
2020-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/8/2037 |
| _version_ | 1827718348012519424 |
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| author | Jun Deng Jianbo Wang Shupeng Li Haijing Zhang Shutao Peng Tong Wang |
| author_facet | Jun Deng Jianbo Wang Shupeng Li Haijing Zhang Shutao Peng Tong Wang |
| author_sort | Jun Deng |
| collection | DOAJ |
| description | With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H<sub>2</sub>/H<sub>∞</sub> control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs. |
| first_indexed | 2024-03-10T20:21:54Z |
| format | Article |
| id | doaj.art-11aacc463451449eb46028f9f2009343 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T20:21:54Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-11aacc463451449eb46028f9f20093432023-11-19T22:05:56ZengMDPI AGEnergies1996-10732020-04-01138203710.3390/en13082037Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator ControlJun Deng0Jianbo Wang1Shupeng Li2Haijing Zhang3Shutao Peng4Tong Wang5State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, ChinaState Grid Shaanxi Electric Power Research Institute, Xi’an 710100, ChinaState Grid Shaanxi Electric Power Research Institute, Xi’an 710100, ChinaState Grid Shaanxi Electric Power Research Institute, Xi’an 710100, ChinaState Grid Shaanxi Electric Power Research Institute, Xi’an 710100, ChinaSchool of Electrical & Electronic Engineering, North China Electric Power University, Changping District, Beijing 102206, ChinaWith the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H<sub>2</sub>/H<sub>∞</sub> control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.https://www.mdpi.com/1996-1073/13/8/2037virtual synchronous generatoradaptive damping controlPMSGLPV |
| spellingShingle | Jun Deng Jianbo Wang Shupeng Li Haijing Zhang Shutao Peng Tong Wang Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control Energies virtual synchronous generator adaptive damping control PMSG LPV |
| title | Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control |
| title_full | Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control |
| title_fullStr | Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control |
| title_full_unstemmed | Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control |
| title_short | Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control |
| title_sort | adaptive damping design of pmsg integrated power system with virtual synchronous generator control |
| topic | virtual synchronous generator adaptive damping control PMSG LPV |
| url | https://www.mdpi.com/1996-1073/13/8/2037 |
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