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Stability Analysis and Parameter Optimization of Virtual Synchronous Machine Based on Small Signal Model
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Ting HE1, 2, Jun-qiang QIAO1, 2, *, Guo-dong WU3
Science Technology and Engineering | 2025, 25(5) : 1927 - 1935
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Science Technology and Engineering | 2025, 25(5): 1927-1935
• Papers·Energy and Power Engineering •
Stability Analysis and Parameter Optimization of Virtual Synchronous Machine Based on Small Signal Model
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Ting HE1, 2, Jun-qiang QIAO1, 2, *, Guo-dong WU3
Affiliations
  • 1 Gansu Natural Energy Research Institute, Lanzhou 730046, China
  • 2 Gansu Key Laboratory of Solar Energy Utilization, Lanzhou 730046, China
  • 3 State Grid Gansu Electric Power Company, Lanzhou 730046, China
Published: 2025-02-18 doi: 10.12404/j.issn.1671-1815.2401713
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To enhance the grid connection stability of virtual synchronous machines, a global optimization design method for virtual synchronous machine control parameters was proposed. Firstly, a small-signal model of the virtual synchronous generator with virtual exciter and governor was established, and the system eigenvalues were obtained by solving the state matrix. Secondly, the sensitivity of the controller parameters to the position of eigenvalues was studied, and a wide range of parameter optimization was conducted using genetic algorithms based on the main eigenvalue positions. Finally, analytical solutions of the model and MATLAB/Simulink simulation data were compared. The results show that significant improvements in frequency stability can be achieved by optimizing a wide range of virtual synchronous machine parameters. After optimization, the system response transient stability time is 0.25 s, only 5% of the transient stability time with general parameters, and the frequency stability improves noticeably with load changes.

microgrid  /  virtual synchronous generator  /  small signal analysis  /  sensitivity analysis  /  parameter optimization
Ting HE, Jun-qiang QIAO, Guo-dong WU. Stability Analysis and Parameter Optimization of Virtual Synchronous Machine Based on Small Signal Model[J]. Science Technology and Engineering, 2025 , 25 (5) : 1927 -1935 . DOI: 10.12404/j.issn.1671-1815.2401713
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Article Info
doi: 10.12404/j.issn.1671-1815.2401713
  • Receive Date：2024-03-12
  • Online Date：2025-07-29
  • Published：2025-02-18
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  • Received：2024-03-12
  • Revised：2024-11-16
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Affiliations
    1 Gansu Natural Energy Research Institute, Lanzhou 730046, China
    2 Gansu Key Laboratory of Solar Energy Utilization, Lanzhou 730046, China
    3 State Grid Gansu Electric Power Company, Lanzhou 730046, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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