刘雨昕, 彭克, 赵子达, 姜妍, 蔡元鑫. 多虚拟同步发电机并联系统功率低频振荡机理分析[J]. 电力系统自动化, 2024, 48(19): 89-100.
引用本文: 刘雨昕, 彭克, 赵子达, 姜妍, 蔡元鑫. 多虚拟同步发电机并联系统功率低频振荡机理分析[J]. 电力系统自动化, 2024, 48(19): 89-100.
LIU Yu-xin, PENG Ke, ZHAO Zi-da, JIANG Yan, CAI Yuan-xin. Mechanism Analysis of Power Low-frequency Oscillations in Parallel System of Multiple Virtual Synchronous Generators[J]. Automation of Electric Power Systems, 2024, 48(19): 89-100.
Citation: LIU Yu-xin, PENG Ke, ZHAO Zi-da, JIANG Yan, CAI Yuan-xin. Mechanism Analysis of Power Low-frequency Oscillations in Parallel System of Multiple Virtual Synchronous Generators[J]. Automation of Electric Power Systems, 2024, 48(19): 89-100.

多虚拟同步发电机并联系统功率低频振荡机理分析

Mechanism Analysis of Power Low-frequency Oscillations in Parallel System of Multiple Virtual Synchronous Generators

  • 摘要: 虚拟同步发电机通过模拟传统同步发电机的外特性来提高新能源发电系统的惯量水平及惯性支撑能力,但虚拟同步发电机也会存在传统同步发电机的功率低频振荡问题。文中针对多虚拟同步发电机并联系统的低频振荡机理进行了研究。首先,建立了多虚拟同步发电机并联系统的单机等值模型,推导了等值模型的数学表达式。然后,建立了有功分量和无功分量刻画的低频振荡频率解析表达式,进一步对影响无功功率振荡频率的参数进行灵敏度分析,实现模型的降阶,揭示了系统参数及控制参数对振荡频率的影响规律。最后,通过仿真及实验验证了模型的有效性及理论分析的正确性。

     

    Abstract: The virtual synchronous generator improves the inertia level and inertia support capacity of the renewable energy generation system by simulating the external characteristics of the conventional synchronous generator. However, the virtual synchronous generator also has the problem of power low-frequency oscillation of the conventional synchronous generator. This paper studies the mechanism of low-frequency oscillation in the parallel system of multiple virtual synchronous generators. First,the single-generator equivalent model of the parallel system of multiple virtual synchronous generators is established, and the mathematical expression of the equivalent model is deduced. Then, the analytical expression of the low-frequency oscillation frequency portrayed by active and reactive components is established. Furthermore, more the parameter influencing the oscillation frequency of reactive power is analyzed in terms of sensitivity to achieve the order reduction of the model. The influence laws of system parameters and control parameters on the oscillation frequency are revealed. Finally, the effectiveness of the model and the correctness of the theoretical analysis are verified by the simulation and experiments.

     

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