广域量测信息大数据特征分析及应用策略

发布时间：2018-03-16 15:33

本文选题：广域量测　切入点：大数据　出处：《电网技术》2017年01期 　论文类型：期刊论文

【摘要】：为深入理解广域量测信息特征,采用类比分析方法探究了广域量测理论研究成果难以转换成实际应用的原因。首先,以信息论大数据4V特征为条件,提出一种判断大数据的逻辑结构。然后,深入分析电网广域信息暂态数据、动态数据及事件标识数据的产生过程、描述结构及关联关系,结合某省WAMS系统实例,与大数据判断条件进行逐一类比分析,论述了广域量测信息是一种电网特有的大数据,难以满足多数WAMS理论研究成果对于数据持续性和准确性的要求,是理论成果难以向实用转换的重要原因。实现WAMS理论成果实用化,必须有效处理广域信息大数据,由此提出了建立数据可信分级、设计专用数据处理控制器、增添数据分群管理模式等数据应用策略。
[Abstract]:In order to deeply understand the characteristics of wide-area measurement information, the reason why the research results of wide-area measurement theory is difficult to be converted into practical application is explored by analogy analysis. First, the information theory big data 4V feature is used as a condition. A logic structure for judging big data is proposed. Then, the generation process of power grid wide area information transient data, dynamic data and event identification data is analyzed in depth, and the structure and correlation relationship are described. A provincial WAMS system example is given. By analogy analysis with big data, this paper discusses that wide-area measurement information is a kind of special power grid big data, which is difficult to meet the requirements of data continuity and accuracy of most WAMS theoretical research results. To realize the practicability of WAMS theory, big data must deal with wide-area information effectively. Therefore, it is proposed to establish data credible grading and design special data processing controller. Add data cluster management model and other data application strategies.
【作者单位】：中国农业大学信息与电气工程学院;中国电力科学研究院;
【基金】：国家自然科学基金项目(51207143) 国家电网公司科技项目(XT71-15-056)~~
【分类号】：TM76

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