Comparative analysis of fault discrimination algorithms on sensitivity to high impedance busbar faults

Monir Hossain, I. Leevongwat, P. Rastgoufard
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引用次数: 4

Abstract

Presently there is not one differential protection characteristic which is self-sufficient to detect all possible busbar faults accurately. Particularly, during close-in external fault, current transformer (CT) saturation creates high operating current which can cause mal-operation of differential relays. As a result, a fault discriminator is necessary to supervise the differential schemes to prevent undesired tripping operation. Most of the existing fault discrimination algorithms have been proven as an efficient external fault detector; however, they suffer from lack of sensitivity to high impedance internal faults. This paper presents a comparative analysis on sensitivity of three existing fault discrimination algorithms including Phase Angle Comparison Algorithm (PACA), Rate of Change of Differential Algorithm (ROCODA), and Alienation Coefficient Algorithm (ACA). Fault simulations were performed using a three-bus test system. The results documented in this paper show that the degree of sensitivity of ROCODA and ACA are similar and much higher than PACA. The comparative analysis presented in this paper can be employed as a useful guideline for selection of an appropriate protection scheme for busbar systems.
故障判别算法对高阻抗母线故障灵敏度的比较分析
目前还没有一种差动保护特性能够自给自足地准确检测母线所有可能的故障。特别是在闭合外部故障时,电流互感器饱和会产生较大的工作电流,导致差动继电器误动。因此,需要一个故障鉴别器来监督微分方案,以防止不期望的跳闸操作。大多数现有的故障识别算法已被证明是有效的外部故障检测器;然而,它们对高阻抗内部故障缺乏敏感性。对现有的相角比较算法(PACA)、差分变化率算法(ROCODA)和疏离系数算法(ACA)三种故障判别算法的灵敏度进行了比较分析。采用三总线测试系统进行故障模拟。结果表明,ROCODA和ACA的灵敏度相近,且远高于PACA。本文的比较分析可以作为母线系统选择适当保护方案的有用指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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