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面向智能电网应用的电力大数据关键技术

彭小圣 邓迪元 程时杰 劲宇 李朝晖 牛林

中国电机工程学报Issue(3):503-511,9.
中国电机工程学报Issue(3):503-511,9.DOI:10.13334/j.0258-8013.pcsee.2015.03.001

面向智能电网应用的电力大数据关键技术

Key Technologies of Electric Power Big Data and Its Application Prospects in Smart Grid

彭小圣 1邓迪元 1程时杰 1劲宇 1李朝晖 1牛林2

作者信息

  • 1. 华中科技大学电气与电子工程学院,湖北省 武汉市 430074
  • 2. 国网技术学院,山东省 济南市 250002
  • 折叠

摘要

Abstract

Application of big data techniques in power system will contribute to the sustainable development of power industry companies and the establishment of strong smart grid. This paper introduced a universal framework of electric power big data platform, based on the analysis of the relationships among the big data, cloud computing and smart grid. Then key techniques of electric power big data were discussed in four aspects, including big data management techniques, big data analyzing techniques, big data processing techniques and big data visualization techniques. Finally, the paper presented three typical application examples of electric power big data techniques which were new and renewable energy integration, wind turbine condition monitoring and assessment, power system catastrophic failure prediction. The application of big data technologies in smart grid will bring deep change and brilliant future to power system, and will promote the development of power industry to a new generation.

关键词

大数据/云计算/智能电网/数据集成/数据分析/数据处理/数据展现

Key words

big data/cloud computing/smart grid/data integration/data analysis/data processing/data visualization

分类

信息技术与安全科学

引用本文复制引用

彭小圣,邓迪元,程时杰,劲宇,李朝晖,牛林..面向智能电网应用的电力大数据关键技术[J].中国电机工程学报,2015,(3):503-511,9.

基金项目

国家自然科学基金项目(51228701)。@@@@Project Supported by National Natural Science Foundation of China (51228701) (51228701)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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