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文章摘要
基于k中心点聚类的稳态电能质量预警阈值研究
Early Warning Thresholding of Power Quality based on k-Medoids Clustering
Received:November 02, 2017  Revised:November 02, 2017
DOI:
中文关键词: 电能质量  预警阈值  k中心点聚类
英文关键词: power  quality, early  warning threshold, k-medoids  clustering
基金项目:
Author NameAffiliationE-mail
Liu Jianhua* School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China. dqaqyjscumt17@163.com 
Liu Yanmei School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China. 1443390103@qq.com 
Zhang Yixiu School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China. dqaq17@163.com 
Feng Chunchun School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China. 2580880146@qq.com 
Li Jincheng School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China. dqgch17@163.com 
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中文摘要:
      对稳态电能质量预警阈值的研究是适应电能质量预警系统的开发。针对目前稳态电能质量预警阈值确定方法复杂单一的问题,提出了一种基于k中心点聚类的稳态电能质量阈值确定方法。该方法是在对电能质量数据进行聚类分析的基础上,使用基于距离的平方和误差作为聚类质量的度量,根据阈值确定的实际情况取k=2,自然地将所有数据分为正常类和异常类两类,在此基础上进行阈值的选取。实验结果证明,在确定电能质量阈值的问题上,该方法具有良好的效果和效率。
英文摘要:
      The study of power quality (PQ) warning threshold is for the development of PQ early warning system. In this paper, a method of determining the PQ threshold based on k-medoids clustering is proposed to solve the problem that the current segmentation method of PQ warning threshold of is a complex and single. The method firstly analyzes the PQ data by cluster analysis, then uses square sum error based on distance as the clustering quality metric function. According to the actual situation determined by the threshold, the method sets the value of k as 2, naturally divides all the data into two classes: normal class and abnormal class, on the previous basis, the threshold is selected. The experimental results show that, for the selection of PQ threshold, the above method has good effect and efficiency.
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