Frequency Stability Analysis Based on Full State Model in Autonomous-Synchronization Voltage Source Interfaced Power System
The application of new energy controlled by autonomous-synchronization voltage source is an important measure to enhance the frequency stability of high penetration renewable energy power system. For autonomous-synchronization voltage source grid-connected system, the quantitative relationship betwe...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212063 |
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| Summary: | The application of new energy controlled by autonomous-synchronization voltage source is an important measure to enhance the frequency stability of high penetration renewable energy power system. For autonomous-synchronization voltage source grid-connected system, the quantitative relationship between the frequency-related characteristic quantities of the system and the system parameters is obtained through the analytical solution to the time-domain response of the state variables based on the approximate full-state model. First, the frequency stability problem is transformed into a quadratic eigenvalue problem (QEP), which proves that the reduction of the system inertia will reduce the disturbance-rejection capability of the system frequency in the inertial response stage. Then, the parameters of the autonomous-synchronization voltage source model are compared with those of the synchronous machine model, and it is proved that the function of the governor is equivalent to increasing the system damping, which can reduce the steady-state error of the system frequency after being disturbed. Based on the above conclusions, a method for estimating the virtual inertia and droop coefficient of renewable energy with the autonomous-synchronization voltage source that meets the preset frequency dynamic safety requirements is proposed. Finally, the correctness and effectiveness of the above conclusions and methods are verified by a system with 10 machines and 39 nodes. |
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| ISSN: | 1004-9649 |