基于电量数据的低压配变台区用户相序识别方法研究

Research on User Phase Sequence Recognition Method in Low Voltage Distribution Transformer Station Area Based on Electricity Data

治理低压配变台区三相负荷不平衡,需对用户所属相序进行识别,国内目前唯一可规模推广的方法是基于电量数据的识别方法。本文对现有基于电量数据的用户相序识别方法文献进行了分析,归纳出了基于电量守恒原理和基于数据挖掘技术的两大类方法。分别对两类方法的思路、问题模型及求解方法进行了分析,对每类方法从数据层面、模型层面和算法层面上的特点进行了总结。结论是基于电量守恒原理的方法对于数据质量的要求很高,求解的准确率也高,但计算量很大;基于数据挖掘技术的方法,对数据质量的要求不高,计算量也较小,但求解的准确率不高。

In order to control the three-phase load imbalance in the low-voltage distribution transformer station area,it is necessary to identify the phase sequence to which the user belongs.At present,the only large-scale promotion in China is the identification method based on electricity data.This paper analyzes the existing literature on user phase sequence recognition methods based on electricity data,and summarizes two major methods based on the principle of electricity conservation and data mining technology.The ideas,problem models and solving methods of the two types of methods are respectively analyzed,and the characteristics of each type of method from the data level,model level and algorithm level are summarized.The conclusion is that the method based on the principle of conservation of electricity has high requirements for data quality,and the accuracy of the solution is also high,but the amount of calculation is large;the method based on data mining technology does not require high data quality and the amount of calculation is small.But the accuracy of the solution is not high.