基于大数据的配电网线损定位与评估方法研究

Distribution network line loss location and evaluation method study based on big data

针对当前配电网输电线路损耗异常无法溯源且定位难的问题,基于计量自动化系统采集的数据,通过对站、线、变、户基础数据的治理,采用自动最优聚类算法对用户用电行为分类,采用随机森林建立各类线损之间的关联关系模型,构建配电网线路损耗和台区损耗分析与定位方法,并开发基于线损异常精确定位的计量自动化运维平台.通过对贵州省某供电局辖区2516个用户的数据进行分析和实验验证,该文所提出的线损分析与定位方法能对配电网线损异常进行溯源和精确定位.

Aiming at the problem that the transmission line loss of the distribution network is not traceable and difficult to locate, the article is based on the data collected by the measurement automation system. Through the management of the station, line, transformer and household basic data, the automatic optimal clustering algorithm is used for the user. The classification of electrical behaviors is based on random forests to establish the correlation model between various types of line losses. The method of analyzing and locating the line loss and the area loss of the distribution network is constructed, and the automatic operation and maintenance platform based on the line loss anomaly positioning is developed. Through the analysis and experimental verification of the data of 2 516 users in a power supply bureau in Guizhou Province, the line loss analysis and location method proposed can trace and accurately locate the line loss anomaly of the distribution network.