基于Apriori算法的气象与电网缺陷关联研究

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Abstract 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.

Key words： disastrous meteorological factors power grid defects association algorithm

Received: 01 November 2018 Published: 17 June 2019

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	Articles by authors
	Lin Weiming
	Wu Zejun
	Zhou Hengxu
	Guo Jing

Cite this article:

Lin Weiming,Wu Zejun,Zhou Hengxu等. Research on mining association between weather and power grid based on Apriori algorithm[J]. Electrical Engineering, 2019, 20(6): 44-49.

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http://dqjs.cesmedia.cn/EN/Y2019/V20/I6/44

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