Research on online data mining of smart grid reliability based on cloud computing

被引：0

作者：

Li, Zhanling ^{[1
]}

Ma, Lijie ^{[1
]}

机构：

[1] Inner Mongolia Electronic Information Vocational Technical College, China

来源：

Metallurgical and Mining Industry | 2015年 / 7卷 / 09期

关键词：

Data mining - Genetic algorithms - Smart power grids - Reliability - Electric power transmission networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, the author researches on the online data mining of smart grid reliability based on cloud computing. All of these scenarios were run separately with each done several times and the algorithm converged to the same solutions at different iterations. The results of each of these cases have shown to be very good. As shown in this research, Genetic Algorithm is more effective in finding the optimum reconfiguration in the shortest possible time as compared to other techniques. The method proposed in this research is very promising and useful in both theoretical and practical situations. It reduces the cost of investment in new installations and operational cost as well as improves the life span of equipment.

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页码：270 / 275

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