配电线路拓扑及台户区分自校验系统的研究

针对人工检查低压配电网拓扑关系带来的管理难度和成本高的问题,本研究分别在时域和频域上比较了皮尔逊相关系数和灰色关联分析,提出了一种实用的配电线路拓扑异常检查方法,该方法利用从数据采集与监控系统和电力信息采集系统获得的配电数据,使用皮尔逊相关系数来判断用户电压序列曲线的相似性,采用灰色关联法对用户样本集进行分析,对中间节点的电压变化确定了下游节点的异常位置,发现识别出站区标识错误的用户;根据实验验证的结果,与灰色关联分析法相比,皮尔逊相关系数不具有良好的鲁棒性,而且会增加误判的次数,采用频域相似度的灰色关联分析法得到配电线路拓扑校验准确率达到99.9％,十分适用可靠.

Research on the Topology of Distribution Lines and the Self-checking System for Distinguishing Between Households

In view of the management difficulty and high cost caused by manual inspection of low-voltage distribution network topology, this paper compares the Pearson correlation coefficient and gray correlation analysis in the time domain and frequency domain, and proposes a practical distribution line Topology anomaly inspection method. This method uses the distribution data obtained from the data acquisition and monitoring system and the power information acquisition system, uses the Pearson correlation coefficient to judge the similarity of the user voltage sequence curve, and uses the gray correlation method to analyze the user sample set , The voltage change of the intermediate node determined the abnormal position of the downstream node, and the user with the wrong station identification was found. According to the experimental verification results, compared with the gray correlation analysis method, the Pearson correlation coefficient does not have good robustness and will increase the number of misjudgments. The gray correlation analysis method of frequency domain similarity is used to obtain the distribution line topology verification The accuracy rate reaches 99.9%, which is very applicable and reliable.