Ultra-Fast Detection and Location of Busbar Faults Employing IMG

Mahmoud Lashgari, S. Shahrtash
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引用次数: 1

Abstract

This paper presents a method for ultra-fast detection and location of busbar faults. The proposed algorithm is based on the output values of online Improved Morphological Gradient (IMG) that is applied to the superimposed component of current signals. Algorithm only performs fault detection and location using current signals of current transformers (CTs) that are placed in busbar protection zones and can be used in any type of busbar structure. To evaluate the performance of the proposed algorithm, a 400 kV substation model has been simulated by EMTP/ATP-Draw software. The simulation results indicate that the proposed algorithm has high security against external faults, and is able to find the location of the internal busbar fault.
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基于IMG的母线故障超快速检测与定位
提出了一种超快速检测和定位母线故障的方法。该算法基于在线改进形态学梯度(IMG)的输出值,将其应用于电流信号的叠加分量。该算法仅利用电流互感器(CTs)的电流信号进行故障检测和定位,电流互感器位于母线保护区内,可用于任何类型的母线结构。为了评估该算法的性能,利用EMTP/ATP-Draw软件对400 kV变电站模型进行了仿真。仿真结果表明,该算法对外部故障具有较高的安全性,并且能够找到内部母线故障的位置。
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