基于动态特性节点聚类的低阶仿真频率安全分析方法

Low-Order Simulation Frequency Security Analysis Method Based on Dynamic Characteristic Node Clustering

在线评估电力系统抵抗功率扰动的能力,对调控人员实时了解电网频率稳定态势具有重要意义。针对大型互联同步系统频率具有明显的时空分布特性,提出了一种基于动态特性节点聚类的低阶仿真频率安全分析方法。基于预想故障机电暂态时域仿真结果进行节点动态频率特性同调性识别和节点聚类,在各同调节点集单机等值模型和频率超前滞后特性基础上,建立了频率安全在线分析的低阶仿真模型,可以应用于预想故障后频率安全的在线快速和精细化评估。某实际电网的算例验证了所提方法的准确性和有效性。

Online evaluation of the ability of power system to resist power disturbance is of great significance for power dispatcher to understand the power grid frequency stability situation in real time.In this paper,a low-order simulation model for frequency security analysis based on dynamic characteristic node clustering is proposed for large-scale interconnected synchronous systems with obvious time-space distribution characteristics.Based on the electromechanical transient timedomain simulation results of contingency fault set,the coherency identification and clustering of node dynamic frequency characteristics are carried out.Based on the single machine equivalent model and frequency lead-lag characteristics of each coherency node set,a low-order simulation model for online analysis of frequency security is established,which can be used for online fast and refined evaluation of frequency security after contingency fault set.The accuracy and effectiveness of the proposed method are verified by an actual power grid.