Leakage Current Detector and Warning System Integrated with Electric Meter

Abstract

Electrical power is essential in human life. Thus, the security and reliability of its supply are of critical importance in a country’s industrial and economic development. The leakage and improper use of electricity may cause serious problems such as fire and electrocution. To prevent such incidents and minimize the loss of life and property, a leakage current detector and warning system are developed in this study. With a high-precision current transformer and high-gain linear converter, the detector effectively detects leakage current over 1 mA, which is validated in different methods. The detector can be integrated into widely used electric meters (Taipower Datong’s sub-meter model D4S) easily, and information on detected leakage current is transmitted to the cloud server through narrowband IoT wireless communication (NB-IoT) to warn users and management personnel of the electrical power line. The proposed detector and system are expected to prevent the fire caused by leakage current which was the main cause of the fire at homes and buildings and can be an effective means to manage the electrical powerline system and metering facilities.

Prediction Model of Residual Current Based on Grey Association and Neural Network

“…Thus, the prediction of residual currents is recognized as a vital tool for the early prevention of electrical fires. (13)(14)(15) Existing research indicates that while time series analysis has made some progress in predicting nonlinear data, it still faces challenges in handling the dynamism and complexity of nonlinear data. (16) The uncertainty of nonlinear relationships and sensitivity to initial conditions make predictions more difficult.…”