基于动态时间序列电压相关性分析的低压配电网拓扑校核

Topology Check for Low Voltage Distribution Network Based on Dynamic Time Series Voltage Correlation

低压配电网的网络拓扑难以确认阻碍泛在电力物联网数据与信息融合,为此提出一种基于动态时间序列分割的电压相关性分析方法用于低压配电网的拓扑校核。该方法首先利用极值点判定方法,得到对序列变化趋势影响较大的极值点;其次,对划分得出的极值点判断其对于序列变化趋势的重要性,在此基础上应用电压相关性原理,判断不同序列在包含极值点的序段的电压相关性。最后利用现场多个低压配电台区电压数据对算法进行检验,验证了算法的可行性。

For the low voltage distribution network topology, it is difficult to confirm the obstacle to the integration of data and information in power IoT, therefore, this paper proposes a voltage correlation analysis method based on dynamic time series segmentation for topology check of low-voltage distribution network. Firstly, the extreme point judgment method is used to determine the extreme points in the sequence, and the extreme points which have a great influence on the trend of the sequence change are obtained. Secondly, the extreme points of the division are used to judge importance to the trend of the sequence changes. On this basis, the principle of voltage correlation is applied to judge the voltage correlation of different sequences in the continuation of the extreme points. Finally, the paper uses voltage data of multiple low-voltage distribution stations in the field to test and verifies the feasibility of the algorithm.