Design of power information collection gateway based on density clustering

Dianzi Jishu Yingyong

Yu Xiangchun¹  Wang Ping¹ 

[1] School of Automation，Chongqing University of Posts and Telecommunications，Chongqing 400065，China;

关键词: acquisition gateway;    anomaly detection;    energy consumption data;    address configuration;    DBSCAN algorithm;   

DOI  :  10.16157/j.issn.0258-7998.174797

来源: DOAJ

【 摘 要 】

Existing power collection network concentrator doesn′t have ability to detect abnormal power load, which leads the main station of abnormal electricity behavior analysis and response lag. An information collection gateway with anomaly detection function is designed. Installing the gateway on the concentrator side to conduct anomaly analysis of the energy consumption data of the concentrator is an effective solution to the problem. According to the characteristics of the information collection network and the relevant grid regulations, the gateway constructs its own address by constructing the data frame to query the address pool from the master station. The abnormal electric behavior is judged based on the density clustering DBSCAN algorithm and the decision tree C4.5 algorithm. Test results show that the gateway can quickly configure its own address and conduct anomaly analysis of energy consumption data.

【 授权许可】

Unknown