• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.7
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• pp.1141-1149
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• 2008

Most faults are single-phase-to-ground fault in ungrounded system. The fault currents of single-phase-to-ground are much smaller than detection thresholds of measurement devices, so detecting single-phase-to-ground faults is difficult and important in ungrounded system. This paper proposed to a FI(Fault Indicator) generation algorithm in ungrounded system. The algorithm just using line-to-line voltage and zero-sequence current detects fault line, fault phase, fault section and FI(Fault Indicator) at terminal device, This paper also proposed to application plan for this algorithm. In the case study, the proposed algorithm has been testified in demo system by Matlab/Simulink simulations.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.758-760
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• 1997

For feeder automation function, we must have Fault Indicator with the information of fault current flowing inside automatic feeder switches. In this paper, we introduce the algorithm of feeder automation, the theory of fault indicator, the result with some troubles of field test in real distribution system and contents of improvement.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.2
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• pp.394-401
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• 2017

Fault diagnosis is important due to the increasing demand of using interior permanent magnet synchronous machines (IPMSMs). In particular, an interturn fault is one of the most frequent electrical faults in IPMSMs. This paper proposes a fault indicator for diagnosis of interturn faults in IPMSMs. The fault indicator is developed by negative-sequence impedance. The effectiveness of the fault indicator to diagnose interturn faults was verified through various fault conditions.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.10
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• pp.1354-1363
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• 2014

In this paper, an improved method of fault indicator generation algorithm in FRTUs is proposed for the present Distribution Automation System. In order to find fault area, correct FI information should be generated. But when a single line-to-ground fault occurs, FI information is generated in downside of the fault in some circumstance because existing FI algorithm considers only magnitude. It is found that the upside fault current direction if different from the downside fault current direction. Therefore, in order to prevent to generate the wrong fault indication information for FRTU at the downside of the fault, an improved fault indication generation method is developed. Not only the basic conditions are taken into account, but also the directions from the angle difference between zero and positive sequence currents are considered to generated the fault indication information. In case study, the proposed method has been testified and shown the reasonability in generating correct the fault indication information, for many kinds of faults according to conditions.

• Proceedings of the KIEE Conference
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• 2007.04c
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• pp.46-48
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• 2007

This paper presents research about improvement of fault detection algorithm in FRTU on the feeder of distribution system. FRTU(Feeder Remote Terminal Unit) is applied to fault detection schemes for phase fault, ground fault, and cold load pickup and Inrush restraint functions distinguish the fault current and the normal load current. FRTU is occurred FI(Fault Indicator) when current is over pick-up value also inrush current is occurred FRTU indicate FI. Discrete wavelet transform(DWT) analysis gives the frequency and time-scale information. The neural network system as a fault detector was trained to discriminate inrush current from the fault status by a gradient descent method. In this paper, fault detection is improved using voltage monitoring system with DWT and neural network. These data were measured in actual 22.9kV distribution system.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.861-863
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• 1998

F.I(Fault Indicator) is equipped in automatic switchs for Distibution Automation System(DAS), and plays important role of providing the information for picking out a fault section. The restrictive sentence that F.I doesn't react for the inrush current is in the F.I specification. Nevertheless F.I has sometimes mal-functioned on the DAS in Kang-Dong branch office of KEPCO for latest 2 years. This Paper Proved the causes of the mal-function, and proposed the new F.I specification and operation methods against the mal-function causes.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.7
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• pp.1183-1190
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• 2007

This paper proposes the improved fault decision algorithm using DWT(Discrete Wavelet Transform) and ANNs for the FRTU(Feeder Remote Terminal Unit) on the feeder in the power distribution system. Generally, the FRTU has the fault decision scheme detecting the phase fault, the ground fault. Especially FRTU has the function for 2000ms. This function doesn't operate FI(Fault Indicator) for the Inrush current generated in switching time. But it has a defect making it impossible for the FI to be operated from the real fault current in inrush restraint time. In such a case, we can not find the fault zone from FI information. Accordingly, the improved fault recognition algorithm is needed to solve this problem. The DWT analysis gives the frequency and time-scale information. The neural network system as a fault recognition was trained to distinguish the inrush current from the fault status by a gradient descent method. In this paper, fault recognition algorithm is improved by using voltage monitoring system, DWT and neural network. All of the data were measured in actual 22.9kV power distribution system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.4
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• pp.651-659
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• 2007

This paper proposes an improved fault indication algorithm in a distribution automation system. A conventional fault indication method, so called YES-NO algorithm, could generate wrong informations under certain conditions such as line to ground fault, large motor double circuit line. In order to prevent mal-operation of fault indicator, direction of fault current are used as well as magnitude. The feasibility of the proposed algorithm has been testified by computer simulation using Matlab power system toolbox.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.5
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• pp.34-39
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• 2012

The DAS(Distribution Atomization System) determines a faulted section by using a FI(Fault Indicator) when the fault is occurred on the distribution networks. Sometimes FI is malfunction when the ground fault is occurred on a the distribution networks. As a result difficulties to make decision of faulted section. The cause of the FI malfunction is that the determination using the limited information of the installed area. In this study, a method is proposed to determine faulted section using the amount of the fault current instead of using the FI. This method is determinated faulted section using the fuzzy inference for the collected information from the all switches. The usefulness of the proposed algorithm is verified through the simulation test using PSCAD/EMTDC.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.6
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• pp.1025-1033
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• 2010

This paper proposes a method to improve and analysis error cause of FI(Fault Indicator) information to be used for detecting fault section in distribution automation system. FI error cause is made by consideration fault current magnitude and time. So, a new method to prevent FI error is proposed to include fault current magnitude, time and direction. Therefore, it's considered network environments that grounded and ungrounded network in distribution automation system. The proposed method is proved by Matlap Simulink. By the result in this research, it's possible to quickly restoration, supplying stability and reliability power to customer.