电力系统暂态稳定指标：基于层次聚类的同调发电机组检测
Power Systems Transient Stability Indices: Hierarchical Clustering Based Detection of Coherent Groups Of Generators
摘要：
生成器的相干组，即，具有完全相关的转子角的电机在电力系统稳定性分析中起着重要的作用。本文介绍了一种基于层次聚类技术的实时方法，用于发现发电机之间的一致性程度，使用同步系数和发电机转子角度的相关系数作为一致性指标。此外，电力暂态稳定指标（PTSI）被用来检查的电力系统的多功能响应。该方法使用电力系统暂态稳定性指标，即，功率连通性因子（CF）指数，其呈现组内相干强的发电机;功率分离因子（SF）指数，其揭示不同组中的发电机在发生干扰时倾向于相对于其它组摆动的程度;以及总系统分离指数，其展示总系统分离状态（CF/SF）。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：
Coherent groups of generators, i.e., machines with perfectly correlated rotor angles, play an important role in power system stability analysis. This paper introduces a real-time methodology based on hierarchical clustering techniques for discovering the degree of coherency among generators using the synchronization coefficient and the correlation coefficient of the generators' rotor angle as the coherency index. Furthermore, the Power Transient Stability Indices (PTSI) were employed to examine the versatile response of the power system. The method uses power systems transients Stability indices, i.e., power Connectivity Factor (CF) index which presents coherently strong generators within the groups, the power Separation Factor (SF) index which unveils to the extent that the generators in different groups tend to swing against the other groups in the event of a disturbance, and the overall system separation index which demonstrates the overall system separation status (CF/SF). 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.
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