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基于模糊序列电网异常检测建模方法与研究
引用本文:杨清.基于模糊序列电网异常检测建模方法与研究[J].山西电子技术,2009(5):50-51.
作者姓名:杨清
作者单位:山西电力职业技术学院,山西太原030021
摘    要:采用序列模式挖掘算法构建电网异常检测模型,能够更好地表现电网异常行为。基于此进行了电网异常检测建模方法的研究,并提出了一个基于模糊序列模式的电网异常检测模型。通过理论分析和仿真实验证明,提出的模型不仅具有检测异常行为的实际能力,而且检测效率和检测性能都得到了很大的提高。

关 键 词:电网异常检测  模糊序列  数据挖掘

Research on Modeling of Power Network Anomaly Detection with Fuzzy Sequence
Yang Qing.Research on Modeling of Power Network Anomaly Detection with Fuzzy Sequence[J].Shanxi Electronic Technology,2009(5):50-51.
Authors:Yang Qing
Affiliation:Yang Qing ( Shanxi Vocational and Technology College of Electric Power, Taiyuan Shanxi 030021, China)
Abstract:Sequential pattern mining algorithm is used to build power network anomaly detection model, it can display the performance of power system abnormal behavior well. This article mainly makes a research for the anomaly detection method of power grid modeling, and to propose a sequential pattern based on fuzzy anomaly detection model. Through theoretical analysis and simulation experiments, it shows that the model presented in this paper not only has the actual capability of abnormal behavior detecting, but also improves considerably the detection efficiency and detection performance.
Keywords:power system anomaly detection  fuzzy sequence  data Mining
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