智能配电网大数据应用技术与前景分析Application Technology of Big Data in Smart Distribution Grid and Its Prospect Analysis
赵腾;张焰;张东霞;
摘要(Abstract):
针对大数据在智能配电网中的应用问题,在分析智能配电网大数据现状和特征以及梳理数据关系网的基础上,阐述了大数据在智能配电网中应用所涉及到的大数据存储与处理以及大数据解析等关键技术。提出了数据价值链和面向大数据应用的"飞机型"理论框架,并从用电预测与协同调度、智能配电网网架发展趋势分析与优化规划,以及智能用电与网络降损等方面分析了大数据在智能配电网中的应用前景,提出了应用路线图。
关键词(KeyWords): 大数据;智能配电网;关系网与价值链;数据可视化;数据驱动的决策;应用路线
基金项目(Foundation):
作者(Author): 赵腾;张焰;张东霞;
Email:
DOI: 10.13335/j.1000-3673.pst.2014.12.006
参考文献(References):
- [1]Michael Schroeck,Rebecca Shockley,Peter Tufano,et al.Analytics:the real-world use of big data[EB/OL].[2014-08].http://public.dhe.ibm.com/common/ssi/ecm/en/gbe03521usen/GBE03521USEN.PDF.
- [2]宋亚奇,周国亮,朱永利.智能电网大数据处理技术现状与挑战[J].电网技术.2013,37(4):927-935.Song Yaqi,Zhou Guoliang,Zhu Yongli.Present status and challenges of big data processing in smart grid[J].Power System Technology.2013,37(4):927-935(in Chinese).
- [3]Nimmagadda S L,Dreher H V.Big-data integration methodologies for effective management and data mining of petroleum digital ecosystems[C]//2013 7th IEEE International Conference on Digital Ecosystems and Technologies(DEST).Menlo Park,CA:IEEE,2013:148-153.
- [4]Greene C S,Tan J,Ung M,et al.Big data bioinformatics[J].Journal of Cellular Physiology,2014,229(12):1896-1900.
- [5]Kezunovic Mladen,Xie Le,Grijalva Santiago.The role of big data in improving power system operation and protection[C]//Bulk Power System Dynamics and Control-IX Optimization,Security and Control of the Emerging Power Grid(IREP),2013 IREP Symposium.Rethymno:IEEE,2013:1-9.
- [6]Ilic D,Karnouskos S,Wilhelm M.A comparative analysis of smart metering data aggregation performance[C]//2013 11th IEEE International Conference on Industrial Informatics(INDIN).Bochum:IEEE,2013:434-439.
- [7]Corporation IBM.Managing big data for smart grids and smart meters[EB/OL].[2014-08].http://www.smartgridnews.com/artman/uploads/1/IBM_anaytics_paper.pdf.
- [8]张素香,刘建明,赵丙镇,等.基于云计算的居民用电行为分析模型研究[J].电网技术,2013,37(6):1542-1546.Zhang Suxiang,Liu Jianming,Zhao Bingzhen,et al.Cloud computing-based analysis on residential electricity consumption behavior[J].Power System Technology,2013,37(6):1542-1546(in Chinese).
- [9]Wong P K C,Kalam A,Barr R.A“big data”challenge:turning smart meter voltage quality data into actionable information[C]//22nd International Conference and Exhibition on Electricity Distribution(CIRED 2013).Stockholm:IET,2013:1-4.
- [10]The first highly interactive map of electricity use in Los Angeles[EB/OL].[2014-08].http://sustainablecommunities.environment.ucla.edu/map/.
- [11]李彦斌,韩颖,张嵘,等.气象因素对电力安全事故影响的模型[J].电网技术,2013,37(6):1683-1687.Li Yanbin,Han Ying,Zhang Rong,et al.Research on impact model of meteorological factors on the power accidents[J].Power System Technology,2013,37(6):1683-1687(in Chinese).
- [12]Sekhar A Nagaraja,Rajan K S,Jain Amit.Spatial informatics and geographical information systems:tools to transform electric power and energy systems[C]//2008 IEEE Region 10 Conference(TENCON2008).Hyderabad:IEEE,2008:1-5.
- [13]Niimura Tak,Dhaliwal M,Ozawa K.Fuzzy regression models to represent electricity market data in deregulated power industry[C]//IFSA World Congress and 20th NAFIPS International Conference,2001,Joint 9th.Vancouver,BC:IEEE,2001:2556-2561.
- [14]李祥珍,刘建明.面向智能电网的物联网技术及其应用[J].电信网技术,2010(8):41-45.Li Xiangzhen,Liu Jianming.Internet of things technology and application in smart distribution grid[J].Telecommunications Network Technology,2010(8):41-45(in Chinese).
- [15]惠晓林,孙振权.智能配电网与物联网的融合[J].物联网技术,2011(8):31-35.Hui Xiaolin,Sun Zhenquan.Integration of intelligent distribution network and internet of things[J].Internet of Things Technologies,2011(8):31-35(in Chinese).
- [16]李国杰,程学旗.大数据研究:未来科技及经济社会发展的重大战略领域:大数据的研究现状与科学思考[J].中国科学院院刊,2012,27(6):647-657.Li Guojie,Cheng Xueqi.Research status and scientific thinking of big data[J].Bulletin of the Chinese Academy of Sciences,2012,27(6):647-657(in Chinese).
- [17]KUMAR R.Two computational paradigms for big data.KDDsummer school[EB/OL].[2014-08].http://kdd2012.Sigkdd.org/sites/images/summerschool/Ravi-Kumar.pdf.
- [18]The big data management challenge[EB/OL].[2014-08].http://reports.informationweek.com/abstract/81/8766/business-intelligence-a nd-information-management/research-the-big-data-management-chall enge.html.
- [19]邱健,牛琳琳,于海承,等.基于多源数据的在线数据评估技术[J].电网技术,2013,37(9):2658-2663.Qiu Jian,Niu Linlin,Yu Haicheng,et al.Research on online data assessment technology based on the multiple data source[J].Power System Technology,2013,37(9):2658-2663(in Chinese).
- [20]孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169.Meng Xiaofeng,Ci Xiang.Big data management:concepts,techniques and challenges[J].Journal of Computer Research and Development,2013,50(1):146-169(in Chinese).
- [21]马发勇,厉启鹏,马志斌,等.电力调度SCADA系统中历史数据压缩及存储策略[J].电网技术,2014,38(4):1109-1114.Ma Fayong,Li Qipeng,Ma Zhibin,et al.The research of historical data compression and storage strategy in power dispatch SCADA system[J].Power System Technology,2014,38(4):1109-1114(in Chinese).
- [22]杨德胜,陈江江,张明.电力大数据高速存储及检索关键技术研究与应用[J].电子测试,2014(3):62-63.Yang Desheng,Chen Jiangjiang,Zhang Ming.Power big data high-speed data storage and retrieval and application of key technologies[J].Electronic Test,2014(3):62-63(in Chinese).
- [23]卢志刚,程慧琳,冯磊,等.基于证据融合理论的多不良数据辨识[J].电网技术,2012,36(1):123-128.Lu Zhigang,Cheng Huilin,Feng Lei,et al.Multi bad data identification based on evidence fusion theory[J].Power System Technology,2012,36(1):123-128(in Chinese).
- [24]王秀磊,刘鹏.大数据关键技术[J].中兴通讯技术,2013,19(4):17-21.Wang Xiulei,Liu Peng.Key big-data technologies[J].ZTE Communications,2013,19(4):17-21(in Chinese).
- [25]Shen Bin.Universal knowledge discovery from big data:towards a paradigm Shift from“knowledge discovery”to“wisdom discovery”[EB/OL].[2014-08].http://arxiv.org/ftp/arxiv/papers/1403/1403.7570.pdf.
- [26]Van der Aalst.“Mine your own business”:using process mining to turn big data into real value[EB/OL].[2014-08].http://aisel.aisnet.org/ecis2013_cr/225.
- [27]吴猛.基于Web的数据可视化技术初探[J].福建电脑,2007(12):58-59.
- [28]侯忠生,金尚泰.无模型自适应控制:理论与应用[M].科学出版社,2013:5-6.
- [29]朱扬勇.数据学与数据科学[EB/OL].[2014-08].http://www.dataology.fudan.edu.cn.
- [30]Qiu R C,Zhen Hu,Zhe Chen,et al.Cognitive radio network for the smart grid:experimental system architecture,control algorithms,security,and microgrid testbed[J].IEEE Transactions on Smart Grid,2011,2(4):724-740.
- [31]Zhang Changhun,Qiu R C.Data modeling with large random matrices in a cognitive radio network testbed:initial experimental demonstrations with 70 nodes[EB/OL].[2014-08-24].http://arxiv.org/pdf/1404.3788v1.pdf.
- [32]Wu Xindong,Zhu Xingquan,Wu Gongqing,et al.Data mining with big data[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107.