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International Journal of Electrical Power & Energy Systems
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Discriminating transformer large inrush currents from fault currents

Authors: Hamed Dashti; Mahdi Davarpanah; Majid Sanaye-Pasand; Hamid Lesani;

Discriminating transformer large inrush currents from fault currents

Abstract

Abstract One of the most widely used approaches for transformer protection is the low impedance differential relay, which can be adversely affected by inrush currents. Although the conventional inrush current detectors, i.e. the gap detection and second harmonic criteria, can block the differential relay in most of such cases, they are severely prone to maloperation in the case of large inrush currents. This paper presents a new strategy to enhance the security of the differential relay. The suggested approach exploits an intrinsic feature of large inrush currents in three-limb three-phase transformers with the widely used star-delta connection. Based on the feature, some novel criteria are proposed to improve the inrush current detection scheme. To evaluate the performance of the proposed approach for both inrush current and internal fault phenomena, a real 230/63-kV power transformer is modeled based on the time-based transient simulation. Extensive simulation studies and also evaluation using real data reveal that the proposed approach results in a more secure inrush current discrimination method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
gold