电力系统保护与控制2018，Vol.46Issue(5)：143-151,9.DOI:10.7667/PSPC170281
基于大数据平台的电网线损与窃电预警分析关键技术
Key technologies of line loss and stealing electricity prediction analysis based on big data platform
摘要
Abstract
Based on the adjustment of marketing and distribution massive data, this paper proposes a system for power grid line loss and stealing electricity prediction with the key technologies of electric power big data platform. The system provides the integration of calculation, analysis and visualization for line loss. According to the result of line loss calculation and the existing massive data of power grid enterprise, the system adopts the big data technology of Hadoop offline distributed computing and Spark memory computing algorithm to identify the potential acts of stealing electricity by big data mining for the abnormal line loss rate of line and supplying district. Therefore, it provides the stealing electricity prediction and data support services for power supply enterprise with anti-stealing inspection and improves the economic efficiency of enterprise. Through the construction of the system, the application of big data technologies in the electric power industry is verified and implemented.关键词
海量数据/大数据平台/电网线损/窃电预警/一体化计算Key words
massive data/big data platform/power grid line loss/stealing electricity prediction/integrated calculation引用本文复制引用
李端超,王松,黄太贵,程栩,许小龙,窦万春..基于大数据平台的电网线损与窃电预警分析关键技术[J].电力系统保护与控制,2018,46(5):143-151,9.基金项目
国家自然科学基金资助项目(61672276)This work is supported by National Natural Science Foundation of China(No.61672276). （61672276）
