A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collec...A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units (PMU). Detection of insulator arcing faults is based on feature extraction and frequency component analysis. The proposed methodology pertains to the identification of various stages of insulator arcing faults in transmission lines network based on leakage current, frequency characteristics and synchronous phasor measurements of voltage. The methodology is evaluated for IEEE 14 standard bus system by modeling the PMU and insulator arc faults using MATLAB/Simulink. The classification of insulator arcs is done using Support Vector Machine (SVM) technique to avoid empirical risk. The proposed methodology using phasor angle measurements employing PMU is used for fault detection/classification of insulator arcing which further helps in efficient protection of the system and its stable operation. In addition, the methodology is suitable for wide area condition monitoring of smart grid rather than end to end transmission lines.展开更多
覆冰绝缘子闪络过程中泄漏电流持续时间长 ,幅值变化大 ,用常规示波器很难测量 ,故据此特点设计了基于L ab View的覆冰绝缘子冰闪过程泄漏电流监测系统。通过设计制作前置处理电路及 L ab View编程来全过程监测覆冰污秽绝缘子闪络试验...覆冰绝缘子闪络过程中泄漏电流持续时间长 ,幅值变化大 ,用常规示波器很难测量 ,故据此特点设计了基于L ab View的覆冰绝缘子冰闪过程泄漏电流监测系统。通过设计制作前置处理电路及 L ab View编程来全过程监测覆冰污秽绝缘子闪络试验中及局部电弧发展变化过程中泄漏电流 ,并实现了波形显示、数据存储和分析。展开更多
文摘A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units (PMU). Detection of insulator arcing faults is based on feature extraction and frequency component analysis. The proposed methodology pertains to the identification of various stages of insulator arcing faults in transmission lines network based on leakage current, frequency characteristics and synchronous phasor measurements of voltage. The methodology is evaluated for IEEE 14 standard bus system by modeling the PMU and insulator arc faults using MATLAB/Simulink. The classification of insulator arcs is done using Support Vector Machine (SVM) technique to avoid empirical risk. The proposed methodology using phasor angle measurements employing PMU is used for fault detection/classification of insulator arcing which further helps in efficient protection of the system and its stable operation. In addition, the methodology is suitable for wide area condition monitoring of smart grid rather than end to end transmission lines.
文摘覆冰绝缘子闪络过程中泄漏电流持续时间长 ,幅值变化大 ,用常规示波器很难测量 ,故据此特点设计了基于L ab View的覆冰绝缘子冰闪过程泄漏电流监测系统。通过设计制作前置处理电路及 L ab View编程来全过程监测覆冰污秽绝缘子闪络试验中及局部电弧发展变化过程中泄漏电流 ,并实现了波形显示、数据存储和分析。
