供电企业基于三层分析模型的线损异常分析及处理研究

线损精益化管理一直都是国家电网公司一项重点工作，近几年线损数据获取技术日趋成熟，但是分析方法依旧匮乏，严重影响了高损治理的效果。为解决电网运行中高损治理不佳的问题，我们提出了用大数据分析方法来解决传统线损管理问题——供电企业基于三层分析模型的线损异常分析及处理研究。首先，搭建了一个由Hampel抗差算法、加权皮尔逊算法和随机森林算法三种不同算法构成的三层线损异常分析模型；通过该模型，可以结合不同用户用电量大小不一的特点，自上而下的分析大电量异常用户和小电量异常用户。然后将该模型嵌入公司已有的线损监控平台中，可以实现对全省线损数据的实时监测、有效挖掘、深度分析、精准定位和工单管控，形成基于三层分析模型的线损异常分析及处理新方法。该方法对分析处理10kV高损线路和0.4kV高损台区中效果显著。

Analysis and Treatment of Line Loss Anomalies Based on Three-Layer Analysis Model in Power Supply Enterprises

The management of line loss refinement has always been a key work of the national power network company. In recent years, the technology of data acquisition for line loss has become more and more mature. However, the analysis method is still lacking, which has seriously affected the effect of high loss management. In order to solve the problem of poor management of high losses in power grid operation, we propose a method of large data analysis to solve the problem of traditional line loss management. Firstly, a three-layer linear damage anomaly analysis model composed of Hampel resistance algorithm, weighted Pearson algorithm and random forest algorithm is built. Through this model, we can combine the characteristics of different users ''different power consumption, and analyze the users of large power anomaly and small power anomaly from top to bottom. Then the model is embedded in the existing line loss monitoring platform of the company, which can realize real-time monitoring, effective mining, depth analysis, precise positioning and work order control of the line loss data in the province, and form a new method of line loss anomaly analysis and processing based on the three-layer analysis model. This method is effective in analyzing and treating 10kV high loss lines and 0.4 kV high loss platform areas.