基于疏离系数的母线故障鉴别器的快速故障检测挑战

Monir Hossain, I. Leevongwat, P. Rastgoufard
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引用次数: 2

摘要

疏离系数算法(ACA)是用于监督母线差动保护方案的最新故障识别算法之一。ACA在故障开始后的第一个八分之一周期内使用电流信号的疏离系数来区分内部和外部故障。因此,ACA的性能在很大程度上取决于故障检测速度。本文研究了现有故障检测技术中ACA的性能,结果表明在快速电流互感器(CT)饱和的情况下,ACA无法检测到外部故障。本文还提出了一种替代的故障检测技术,并进行了仿真研究来验证其性能。已有的研究结果表明,采用新的故障检测技术的ACA在接近外部故障时具有更好的快速CT饱和性能。
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Fast fault detection challenge for alienation coefficient based bus fault discriminator
One of the latest fault discrimination algorithms used to supervise bus differential protection schemes, is Alienation Coefficient Algorithm (ACA). ACA uses alienation coefficient of current signals during first one-eighth cycle after fault inception to discriminate between internal and external faults. Therefore, the performance of ACA highly depends on fault detection speed. This paper examines the performance of ACA for currently used fault detection technique and the results reveal that ACA fails to detect external fault in case of fast current transformer (CT) saturation. This paper also proposes an alternative fault detection technique for ACA and presents a simulation study to validate the performance. Documented results show that ACA with the new fault detection technique performs better for fast CT saturation during close-in external faults.
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