王振浩, 陈诗伦, 葛津铭, 李国庆, 王朝斌, 刘桄志. 计及新能源场站调频能力的电力系统最小惯量评估方法[J]. 太阳能学报, 2024, 45(8): 494-502. DOI: 10.19912/j.0254-0096.tynxb.2023-0540
引用本文: 王振浩, 陈诗伦, 葛津铭, 李国庆, 王朝斌, 刘桄志. 计及新能源场站调频能力的电力系统最小惯量评估方法[J]. 太阳能学报, 2024, 45(8): 494-502. DOI: 10.19912/j.0254-0096.tynxb.2023-0540
Wang Zhenhao, Chen Shilun, Ge Jinming, Li Guoqing, Wang Chaobin, Liu Guangzhi. MINIMUM INERTIA EVALUATION METHOD OF POWER SYSTEM CONSIDERING FREQUENCY MODULATION CAPABILITY OF NEW ENERGY STATIONS[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 494-502. DOI: 10.19912/j.0254-0096.tynxb.2023-0540
Citation: Wang Zhenhao, Chen Shilun, Ge Jinming, Li Guoqing, Wang Chaobin, Liu Guangzhi. MINIMUM INERTIA EVALUATION METHOD OF POWER SYSTEM CONSIDERING FREQUENCY MODULATION CAPABILITY OF NEW ENERGY STATIONS[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 494-502. DOI: 10.19912/j.0254-0096.tynxb.2023-0540

计及新能源场站调频能力的电力系统最小惯量评估方法

MINIMUM INERTIA EVALUATION METHOD OF POWER SYSTEM CONSIDERING FREQUENCY MODULATION CAPABILITY OF NEW ENERGY STATIONS

  • 摘要: 该文提出计及新能源场站调频能力时考虑频率变化率(RoCoF)和频率最低点约束的惯量评估方法。首先在计及RoCoF约束部分,考虑静态负荷电压对频率变化的抑制作用、电流源型虚拟惯量参与调频时对系统不平衡功率的影响和动态频率响应过程中的空间分布特征。其次在计及频率最低点约束部分,提出基于经典平均系统频率(ASF)模型的考虑新能源场站接入和发电机调速系统的通用ASF模型。利用该模型可预测给定扰动下系统到达频率最低点的时间,并求出频率变化的时域表达式从而进行最小惯量评估。用改进的3机9节点和10机39节点系统设置不同扰动类型和扰动大小对于该文所提方法进行仿真分析,进而证明所提方法的准确性和适用性。

     

    Abstract: An inertia evaluation method has been proposed that incorporates the rate of change of frequency(RoCoF)and the constraint of the minimum frequency point, considering the frequency modulation capabilities of new energy stations. The RoCoF constraint section initially takes into account the suppressive effect of static load voltage on frequency fluctuation, the impact of current source virtual inertia on system imbalance power during frequency modulation participation, and the spatial distribution characteristics throughout the dynamic frequency response process. Subsequently, in the part of considering the minimum frequency constraint, a general ASF model based on the classical average system frequency(ASF) model considering the access of new energy stations and generator speed control system is proposed. This model is derived from the classical ASF model, integrated with a low-order general model of the generator speed control system and the general frequency response model of new energy stations. The model enables to predict the time at which the system reaches its lowest frequency under a specific disturbance and provide a time-domain expression of frequency variation to assess the minimum inertia. The enhanced 3-machine 9-node and 10-machine 39-node systems are employed to simulate different disturbance types and sizes for analysis of the proposed method, thereby validating its accuracy and applicability.

     

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