黄小庆;陈颉;田世明;曹一家;杨夯;江磊;

• 1:湖南大学电气与信息工程学院
• 2:中国电力科学研究院
• 3:国网山东省电力公司经济技术研究院

摘要(Abstract)：

当前充电站存在数据缺失、数据实时性不高的问题,为优化充电站的规划和运行方案,需合理利用海量异构、多态、主体多样、共享难的电动汽车相关数据,这些数据具备大数据的典型特征。而应用的难点在于:数据集成的方式既要成本低、易实施,又要满足和外部系统集成的需要。这本身是一个矛盾。论文针对此展开讨论。首先,分析了充电站规划、运行中的大数据需求,数据来源、特征与应用难点。其次,提出了适用于充电站的4种大数据集成模式。在此基础上,阐明了各集成模式的概念、内涵以及所涉及的具体关键技术,构建了基于4种集成模式的充电站大数据应用架构。最后,给出了应用4种模式的具体实例。

关键词(KeyWords)： 充电站;规划;运行;大数据;数据集成

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51137003;61104090);; 国家科技支撑计划资助项目(2013BAA01B01)~~

作者(Author): 黄小庆;陈颉;田世明;曹一家;杨夯;江磊;

Email:

DOI: 10.13335/j.1000-3673.pst.2016.03.015

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