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Phasor Measurements-Aided Decision Trees for Power System Security Assessment

机译:相量测量辅助决策树,用于电力系统安全评估

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This paper describes a data mining algorithm in power system security assessment. Decision tree (DT) is utilized for on-line status appraisal of a realistic Chinese power grid model for the first time. Using knowledge database that covers all possible pre-fault operating conditions, decision rules in the form of hierarchical trees are developed for on-line assessment. Furthermore, phasor measurement units (PMU) are taken into consideration to better decision treepsilas performance. The results demonstrate that the proposed data mining scheme is able to identify crucial security indicators and gives reliable security predictions. In addition, voltage phase angle difference that obtained by PMU is proved helpful in improving DTpsilas identification accuracy.
机译:本文介绍了一种用于电力系统安全评估的数据挖掘算法。决策树(DT)首次用于现实中国电网模型的在线状态评估。利用涵盖所有可能的故障前运行条件的知识数据库,可以开发出层次树形式的决策规则,以进行在线评估。此外,考虑了相量测量单元(PMU),以更好地确定决策树性能。结果表明,提出的数据挖掘方案能够识别关键的安全指标并给出可靠的安全预测。此外,事实证明,通过PMU获得的电压相角差有助于提高DTpsilas识别精度。

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