基于智能电表海量数据的台区运行态势分析与应用

随着智能电网的快速推进,配网智能化水平越来越高。用户智能电表的覆盖率逐年提升,利用用户智能电表每十五分钟一次采集形成的海量数据,辅以公变终端运行数据,从低压台区线损、故障、网架分析三个视角入手开展台区运行态势分析和应用。通过精益化线损分析,研判线损异常的原因,对配网变户一致性进行研判,对智能装置数据准确性进行评价;通过低压台区回路阻抗模型计算,利用阻抗值实现了配网异常情况的预判和网架阻抗评估;通过配网故障研究分析,及时实现不同类型故障的准确主动研判,进一步提升供电服务“最后一公里”服务效率。本文通过深入挖掘智能电网领域大数据价值,促进业务创新、绩效提升,细化客户分类,满足智能化、多样化用电需要,提升配电网感知度。

Analysis and application of Low-voltage Distribution Network operation status of large scale data based on smart meter

With the rapid development of smart grid, the intelligence level of distribution network is higher and higher. The coverage rate of the smart meter is increasing year by year. With the massive data collected by the smart meter every 15 minutes and supplemented by the operation data of the transformer terminal, the situation analysis and application of the station area operation are carried out from three perspectives of line loss, fault and grid analysis in the low voltage station area. Through lean line loss analysis, the causes of abnormal line loss are studied, the consistency of distribution network transformers is judged, and the data accuracy of intelligent devices is evaluated; through the calculation of loop impedance model in low-voltage station area, the impedance value is used to realize the prediction of abnormal distribution network and the evaluation of grid impedance; through the research and analysis of distribution network faults, Accurate and active diagnosis of different types of faults can be realized in time to further improve the "last kilometer" service efficiency of power supply services. In this paper, through in-depth mining of large data value in the field of smart grid, to promote business innovation, performance improvement, refine customer classification, to meet the needs of intelligent and diversified power consumption, improve distribution network perception.