基于数据关联分析的配电网谐波问题研究及薄弱点辨识方法

Research on Harmonic Problem of Distribution Network and Weak Point Identification Method Based on Data Association Analysis

非线性负荷、以电力电子逆变器并网的分布式可再生电源等接入配电网会影响配电网的电能质量,结合电能质量实时量测数据进行各节点的谐波关联分析,有助于谐波源定位分析及电能质量治理。基于数据关联分析FP-growth算法,结合实际电能质量数据,解析各监测节点的谐波关联关系,寻找各次谐波中具备高关联性的监测节点的频繁项集;然后根据各监测节点的谐波序列关系,计算各监测节点/监测节点组合的谐波单独作用时间占比,判断监测节点为谐波注入源的可能性。最后,根据实际电能质量数据,对采用的FP-growth算法及谐波序列关系分析的效果进行验证。

Non-linear loads,distributed renewable power sources connected to the grid with power electronic inverters,etc.,connected to the distribution network will affect the power quality of the distribution network.Combined with the real-time measurement data of power quality,the harmonic correlation analysis of each node is helpful to the harmonic source location analysis and power quality control.Based on the FP growth algorithm of data association analysis and combined with the actual power quality data,the harmonic association relationship of each monitoring node is analyzed to find the frequent item set of monitoring nodes with high correlation in each harmonic.Then,according to the harmonic sequence relationship of each monitoring node,the proportion of each monitoring node/monitoring node combination of the harmonic alone acting time is calculated,and the possibility that the monitoring node is the harmonic injection source is judged.Finally,according to the actual power quality data,the results of the FP-growth algorithm and the analysis of the harmonic sequence relationship are verified.