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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Faulty Feeder Identification Based on Data Analysis and Similarity Comparison for Flexible Grounding System in Electric Distribution Networks
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Faulty Feeder Identification Based on Data Analysis and Similarity Comparison for Flexible Grounding System in Electric Distribution Networks

机译：基于数据分析和相似性比较的电力分配网络中的柔性接地系统的相似性识别故障

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摘要

Reliability and safety are the most important indicators in the electric system. When a ground fault occurs, the electrical equipment and personnel will be greatly threatened. Due to the zero-sequence voltage/current sensor networks applied in the system, the fault identification and diagnosis technology are developing rapidly, including the application of ground fault suppression. A flexible grounding system (FGS) is a new technology applied to arc extinguishing in medium and high voltage electric distribution networks. Its characteristic is that when the single-phase ground fault occurs, the power-electronic-based device is put into the electric system to compensate and suppress the ground point current to be close to zero in a very short time. In order to implement the above process, the corresponding faulty feeder identification method needs to meet the requirements of rapidity and accuracy. In this article, based on the real-time sampled data from the zero-sequence current/voltage sensors, an improved faulty feeder identification method combining wavelet packet transform (WPT) and grey T-type correlation degree is proposed, which features both accuracy and rapidity. The former is used to reconstruct the transient characteristic signal, and the latter is responsible for calculating and comparing the similarity of relative variation trend. Simulation results verify the rationality and effectiveness of the proposed method and analysis.
机译：可靠性和安全是电动系统中最重要的指标。发生接地故障时，电气设备和人员将受到大大威胁。由于系统中应用的零序电压/电流传感器网络，故障识别和诊断技术正在快速发展，包括接地故障抑制的应用。灵活的接地系统（FGS）是一种新技术，适用于中高压配电网络中的灭弧。其特点是，当发生单相接地故障时，电力电子基设备被放入电气系统中以补偿和抑制在很短的时间内靠近零的接地点电流。为了实现上述过程，相应的错误馈线识别方法需要满足快速和准确性的要求。在本文中，提出了一种基于来自零序电流/电压传感器的实时采样数据，提出了一种改进的故障馈线识别方法，组合小波分组变换（WPT）和灰色T型相关程度，其具有精度和灰度快速。前者用于重建瞬态特征信号，后者负责计算和比较相对变化趋势的相似性。仿真结果验证了所提出的方法和分析的合理性和有效性。

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