配用电数据分析及应用

发布时间：2018-05-15 04:43

本文选题：配用电数据 + 智能电表　；参考：《电网技术》2017年10期

【摘要】：配用电系统存在海量、多态、异构、高维的数据。为深入挖掘配用电数据的价值,提高电力公司的运营管理水平,首先针对配用电系统数据分析现状,阐述具有超越电能计量功能的智能电表对配网运维和分析的重大意义,并梳理该目标对智能电表提出的基本功能要求;然后从应用场景出发,介绍了国内外配用电数据在负荷预测、状态估计、窃电分析、需求响应等诸多方面的实践;针对现有应用基础,归纳了配用电数据面临的挑战和发展趋势,并结合国内数据基础,提出下一阶段国内配用电数据分析的提升重点;为阐述配用电数据分析的应用,列举了加拿大BC Hydro公司的窃电分析实例,并提出了一种适用于中国行业现状的实用化低压户变关系校验方法。最后对未来的配用电数据分析工作进行展望,希望为我国在此方面工作的深入开展提供参考。
[Abstract]:There are massive, polymorphic, heterogeneous and high dimensional data in power distribution system. In order to deeply excavate the value of distribution data and improve the level of operation management of power companies, firstly, according to the current situation of data analysis of distribution system, the significance of intelligent ammeter with beyond the function of energy metering to distribution network operation and analysis is expounded. The basic functional requirements of the target for intelligent ammeter are summarized, and then the practice of domestic and foreign distribution data in load forecasting, state estimation, power theft analysis, demand response and so on is introduced from the application scene. In view of the existing application foundation, the challenge and development trend of distribution data are summarized, and combined with the domestic data basis, the key points of data analysis in the next stage are put forward in order to expound the application of distribution data analysis. An example of electricity theft analysis of BC Hydro Company in Canada is presented, and a practical method for checking the relationship of low voltage household transformer is put forward, which is suitable for the present situation of Chinese industry. Finally, the future data analysis of distribution power consumption is prospected, hoping to provide a reference for the further development of this work in our country.
【作者单位】：华北电力大学电气与电子工程学院;智能电网教育部重点实验室(天津大学);中国电力科学研究院;国网北京市电力公司;
【基金】：国家电网公司科技项目(SGTJDK00DWJS1700030)(“城市配电网量测体系优化配置与关键特征参数辨识技术研究及示范”)~~
【分类号】：TM73;TM76

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