论文标题
基于层次DBSCAN的相干检测和网络分区
Coherency Detection and Network Partitioning based on Hierarchical DBSCAN
论文作者
论文摘要
突然干扰后,发电机的能量平衡受到干扰,同步发电机的功率输出随着其转子角从平衡点转移而变化。这种趋势从本质上提出了每台机器对干扰的多功能响应。由于这种变化,总线的相角也有所不同。因此,可以通过靠近同步发电机的总线上的相角变化来评估每台机器的多功能响应。本文介绍了一种新的方法,用于使用每对公共汽车之间的电压角度的相关指数发现总线之间的相干性,并使用具有噪声(HDBSCAN)的应用基于层次密度的空间聚类(HDBSCAN)将网络分配到岛屿中。所提出的方法还提供了网络完整性指数(连接,分裂和分离),以研究电力网络系统的动态性质。该方法在具有完全动态模型的IEEE 39测试系统上进行评估。本文提出的仿真结果证明了所提出的方法的效率。
After a sudden disturbance, the energy balance of generators is disturbed, and the power outputs of synchronous generators vary as their rotor angles shift from their equilibrium points. This trend essentially presents the versatile response of each machine to the disturbance. Because of this change, the phase angle of the bus also differs. Hence, the versatile response of each machine can be assessed by the phase angles change at the buses close to the synchronous generator. This paper introduces a new methodology for discovering the degree of coherency among buses using the correlation index of the voltage angle between each pair of buses and use the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) to partition the network into islands. The proposed approach also provides the network integrity indices (connectivity, splitting, and separation) for studying the dynamic nature of the power network system. The approach is assessed on an IEEE 39 test system with a fully dynamic model. The simulation results presented in this paper demonstrate the efficiency of the proposed approach.