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基于Apriori算法的气象与电网缺陷关联研究 被引量:4

Research on mining association between weather and power grid based on Apriori algorithm
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摘要 灾害性气象是造成电网缺陷进而导致电力设备出现故障的最主要因素,本文试图找出灾害性气象因素与电网缺陷的关系,通过改进现有Apriori算法,得到了适应南方沿海电网的关联模型。论文还讨论了样本数(异常气象样本偏少)导致的支持度偏低的问题。文末通过南方某电网实例解释了模型的应用。 Disastrous meteorological factors are the most important factors causing power grid defects and causing power equipment failure.This paper attempts to find out the relationship between severe meteorological factors and grid defects.By improving the existing Apriori algorithm,the correlation model adapted to the southern coastal power grid is obtained.The paper also discusses the problem of low support due to the small number of samples (less abnormal meteorological samples).At the end of the paper,the application of the model is explained by an example of a power grid in the south.
作者 林卫铭 吴泽君 周恒旭 郭静 Lin Weiming;Wu Zejun;Zhou Hengxu;Guo Jing(Guangdong Jincheng Guangyi Electric Power Technology Co.,Ltd,Foshan,Guangdong 528000;Automation College,Foshan University,Foshan,Guangdong 528000)
出处 《电气技术》 2019年第6期44-49,共6页 Electrical Engineering
基金 国家自然科学基金项目(61803087)
关键词 灾害性气象因素 电网缺陷 关联算法 disastrous meteorological factors power grid defects association algorithm
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