基于分层DBSCAN的相干检测和网络划分
Coherency Detection and Network Partitioning based on Hierarchical DBSCAN
摘要：
在突然扰动之后，发电机的能量平衡被扰乱，并且同步发电机的功率输出随着其转子角度偏离其平衡点而变化。这种趋势基本上表现出每台机器对干扰的通用响应。由于这种变化，总线的相位角也不同。因此，每个机器的通用响应可以通过接近同步发电机的母线处的相角变化来评估。本文介绍了一种新的方法来发现总线之间的一致性程度，使用每对总线之间的电压角的相关性指数，并使用层次密度为基础的空间聚类的应用程序与噪声（HDBSCAN）的网络划分成岛屿。所提出的方法还提供了网络完整性指标（连通性，分裂，和分离）的研究电力网络系统的动态特性。IEEE 39测试系统的完全动态模型的方法进行评估。仿真结果表明了该方法的有效性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
