To improve the accuracy of automatic detection of phase to phase short circuit faults in 10 kV distribution networks,an improved neural network based automatic detection system for phase to phase short circuit faults in 10 kV distribution networks is designed.The system consists of a probe device in the online monitoring module,which de-tects the voltage and current signal information of the 10 kV distribution network line.It is connected to the com-munication module GPRS network through a short distance wireless network and sent to the data analysis module.The data analysis module is composed of a server and a computer.The voltage and current signal data are cached in real-time in the server.The computer uses an improved neural network-based interphase short circuit fault diagnosis model to diagnose voltage and current signal samples,determine whether they belong to the 10 kV distribution network interphase short circuit fault state,and complete the automatic detection of 10 kV distribution network interphase short circuit faults.Through experimental verification.This system has high accuracy in detecting phase to phase short cir-cuit faults in 10 kV distribution networks,without manual operation,and has broad application prospects.
关键词
改进神经网络/10kV配电网/相间短路/故障自动化/检测系统/鲸鱼优化算法
Key words
improving neural networks/10 kV distribution network/short circuit between phases/fault automation/de-tection system/whale optimization algorithm
万方数据