CAJ | 학술논문

智能电网需要全景的状态数据.电网运行、检修和管理过程中会产生海量异构、多态的数据,也即大数据.如何对它们进行高效、可靠、低廉地存储,并快速访问和分析,是当前重要的研究课题.文章首先分析了发电、输变电以及用电各个环节中大数据的产生来源和特点;其后,综述了目前在商业、互联网和工业监测领域已有的大数据处理技术,并详细分析这些技术在应对智能电网建设和大数据处理方面的优势和不足.最后,从大数据存储、实时数据处理、异构多数据源融合以及大数据可视化4个方面论述了智能电网大数据带来的机遇和挑战.
지능전망수요전경적상태수거.전망운행、검수화관리과정중회산생해량이구、다태적수거,야즉대수거.여하대타문진행고효、가고、저렴지존저,병쾌속방문화분석,시당전중요적연구과제.문장수선분석료발전、수변전이급용전각개배절중대수거적산생래원화특점;기후,종술료목전재상업、호련망화공업감측영역이유적대수거처리기술,병상세분석저사기술재응대지능전망건설화대수거처리방면적우세화불족.최후,종대수거존저、실시수거처리、이구다수거원융합이급대수거가시화4개방면논술료지능전망대수거대래적궤우화도전.
@@@@ Smart grid operation needs panoramic state data, and during the operation, maintenance and management of smart grid massive heterogeneous and multi-state data, namely the big data, are generated. At present, how to store the big data efficiently, reliably and cheaply and access and analyze them rapidly are important research topics. Firstly, the source of the big data generated in various process of smart grid, such as power generation, transmission, transformation and power utilization, and the features of the big data are analyzed;secondly, the existing big data processing techniques adopted in the fields of business, Internet and industrial monitoring are summarized, and the advantages and disadvantages of these techniques in coping with the construction of smart grid and big data processing are analyzed in detail;finally, in aspects of big data storage, real-time data processing, fusion of heterogeneous multi-data sources and visualization of big data, the chance and challenge brought by smart grid big data are expounded.