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Discrete event chain description of power system transient dynamic simulations for efficient cluster analysis

机译:用于高效集群分析的电力系统瞬态动态模拟的离散事件链描述

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摘要

The results of an electromechanical transient simulation can be viewed as a time series data set. Storing these data requires a sizeable space, and the considerable data size renders comparative analysis difficult. For mitigating these problems, a method for analysing and describing a discrete-event chain in the dynamic process of a power system is proposed. Based on the symbolic description, the continuous dynamic process is represented as a discrete-event chain, resulting from the change in state variables beyond the given threshold. Therefore, the event-driven electromechanical transient simulation is developed, and the continuous dynamics and discrete-event chain simulation results are obtained. Subsequently, the event relation matrix is obtained, normalised, and then converted into a bitmap. Finally, the k-means method is used for the cluster analysis on the bitmap of the simulation result. Two test cases involving an IEEE 39-bus system and a practical system are considered. Case studies demonstrate the effectiveness of the proposed method.
机译:可以将机电瞬态仿真的结果视为时间序列数据集。存储这些数据需要相当大的空间,并且相当大的数据大小呈现比较分析困难。为了减轻这些问题,提出了一种用于分析和描述电力系统动态过程中的离散事件链的方法。基于符号描述,连续动态过程表示为离散事件链,从给定阈值超出状态变量的变化导致。因此,开发了事件驱动的机电瞬态仿真,并且获得了连续动态和离散事件链仿真结果。随后,获得事件关系矩阵,归一化,然后转换成位图。最后,K-均值方法用于仿真结果的位图的集群分析。考虑了两个涉及IEEE 39总线系统和实际系统的测试用例。案例研究证明了所提出的方法的有效性。

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