• Title/Summary/Keyword: Fault impedance

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Development of a high Impedance Fault Detection Method in Distribution Lines using Neural network (신경회로망을 이용한 배전선로 고저항 사고 검출 기법의 개발)

  • 황의천;김남호
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.2
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    • pp.80-87
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    • 1999
  • This paper proposed a high impedance fault detection method using a neural network on distribution lines. The $\upsilon-i$ characteristic curve was obtained by high impedance fault data tested in various soil conditions. High impedance fault was simulated using EMTP. The pattern of High Impedance Fault on high density pebbles was taken as the learning model, and the neural network was evaluated on various soil conditions. The average values after analyzing fault current by FFT of even.odd harmonics and fundamental rms were used for the neural network input. Test results were verified the validity of the proposed method .ethod .

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Fault Detection of Plasma Etching Processes with OES and Impedance at CCP Etcher

  • Choi, Sang-Hyuk;Jang, Hae-Gyu;Chae, Hee-Yeop
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.08a
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    • pp.257-257
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    • 2012
  • Fault detection was carried out in a etcher of capacitive coupled plasma with OES (Optical Emission Spectroscopy) and impedance by VI probe that are widely used for process control and monitoring at semiconductor industry. The experiment was operated at conventional Ar and Fluorocarbon plasma with variable change such as pressure and addition of N2 and O2 to assume atmospheric leak, RF power and pressure that are highly possible to impact wafer yield during wafer process, in order to observe OES and VI Probe signals. The sensitivity change on OES and Impedance by VI probe was analyzed by statistical method including PCA to determine healthy of process. The main goal of this study is to find feasibility and limitation of OES and Impedances for fault detection by shift of plasma characteristics and to enhance capability of fault detection using PCA.

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An analytical study on the Effect of High impedance Transformer to reduce Distribution Fault Current (변압기 임피던스 증가에 의한 배전계통의 고장전류 저감방안의 영향분석)

  • Lee, Hyun-Chul;Lee, Geun-Joon;Hyun, Ok-Bae;Hwang, Si-Dol
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.239_240
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    • 2009
  • This paper presents the brief analytical study on 돋 effects of higher impedance transformer(HIT) to reduce distribution system fault current. With the increase of source and load capacity of power system, fault current of D/L is much more increased and, conventional protection equipment-such as sectionalizer and recloser, have to be replaced higher switching capacity. However, this replacements needs a lot of budget to utility. Increase of transformer impedance is can be a countermeasure in practical basis. This paper compares the voltage and fault current magnitude of both cases -%Zt=20% and %Zt2=33.3%(transformer capacity is 75/100MVA). The simulation results show that the steady state voltage of HIT is dropped 5~6% more in peak load, and fault current was decreased about 5kA by high impedance on transformer.

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A Syudy on the Detection of High Impedance Faults using Wavelet Transforms and Neural Network (웨이브렛 변환과 신경망 학습을 이용한 고저항 지락사고 검출에 관한 연구)

  • 홍대승;배영철;전상영;임화영
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.459-462
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    • 2000
  • The analysis of distribution line faults is essential to the proper protection of power system. A high impedance fault(HIF) dose not make enough current to cause conventional protective device operating. so it is well hon that undesirable operating conditions and certain types of faults on electric distribution feeders cannot be detected by using conventional protection system. In this paper, we prove that the nature of the high impedance faults is indeed a deterministic chaos, not a random motion Algorithms for estimating Lyapunov spectrum and the largest Lyapunov exponent are applied to various fault currents detections in order to evaluate the orbital instability peculiar to deterministic chaos dynamically, and fractal dimensions of fault currents which represent geometrical self-similarity are calculated. Wavelet transform analysis is applied the time-scale information to fault signal. Time-scale representation of high impedance faults can detect easily and localize correctly the fault waveform.

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Simultaneous fault Current Analysis by the Ybus Decomposition Method (Ybus분해법에 의한 다중사고 고장전류 해석)

  • 문영현;오용택;박재용
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.2
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    • pp.73-79
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    • 1988
  • A fault current in Simultaneous faults is calulated, which satisfies the reliability for expansion of power scale. New algorithm for analyzing fault current is developed, which calculates exactly thevnin equivalent impedance from fault point by cecomposing increment bus admittance matrix ( Ybus), and fault current is calculated by applying multiport theory. The signeficant results are as follows ` 1) When system fault changes system configulation, equivalent impedance can be calculated simply with this new algorithm. 2) Mutual coupling of transmission line can be calculated efficiently. 3) Simultaneous fault current is analyzed by applying multiport theory, which can be applicable to large scale systems.

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Distance Relaying Algorithm Based on An Adaptive Data Window Using Least Square Error Method (최소자승법을 이용한 적응형 데이터 윈도우의 거리계전 알고리즘)

  • Jeong, Ho-Seong;Choe, Sang-Yeol;Sin, Myeong-Cheol
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.8
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    • pp.371-378
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    • 2002
  • This paper presents the rapid and accurate algorithm for fault detection and location estimation in the transmission line. This algorithm uses wavelet transform for fault detection and harmonics elimination and utilizes least square error method for fault impedance estimation. Wavelet transform decomposes fault signals into high frequence component Dl and low frequence component A3. The former is used for fault phase detection and fault types classification and the latter is used for harmonics elimination. After fault detection, an adaptive data window technique using LSE estimates fault impedance. It can find a optimal data window length and estimate fault impedance rapidly, because it changes the length according to the fault disturbance. To prove the performance of the algorithm, the authors test relaying signals obtained from EMTP simulation. Test results show that the proposed algorithm estimates fault location within a half cycle after fault irrelevant to fault types and various fault conditions.

Design of HTS power cable with fault current limiting function

  • Kim, Dongmin;Kim, Sungkyu;Cho, Jeonwook;Kim, Seokho
    • Progress in Superconductivity and Cryogenics
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    • v.22 no.1
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    • pp.7-11
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    • 2020
  • As demand for electricity in urban areas increases, it is necessary to improve electric power stability by interconnecting neighboring substations and high temperature superconductor (HTS) power cables are considered as a promising option due to its large power capacity. However, the interconnection of substations reduces grid impedance and expected fault current is over 45 kA, which exceeds the capacity of a circuit breaker in Korean grid. To reduce the fault current below 45 kA, a HTS power cable having a fault current limiting (FCL) function is considered by as a feasible solution for the interconnection of substations. In this study, a FCL HTS power cable of 600 MVA/154 kV, transmission level class, is considered to reduce the fault current from 63 kA to less than 45 kA by generating an impedance over 1 Ωwhen the fault current is induced. For the thermal design of FCL HTS power cable, a parametric study is conducted to meet a required temperature limit and impedance by modifying the cable core from usual HTS power cables which are designed to bypass the fault current through cable former. The analysis results give a minimum cable length and an area of stainless steel former to suppress the temperature of cable below a design limit.

A Study on the Algorithm for Fault Discrimination in Transmission Lines using Neural Network and the Variation of Fault Currents (신경회로망과 고장전류의 변화를 이용한 고장판별 알고리즘에 관한 연구)

  • Yeo, Sang-Min;Kim, Cheol-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.49 no.8
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    • pp.405-411
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    • 2000
  • When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper propolsed the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

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Fault Location Algorithm in a Two-ended Sources Transmission Line (양전원 송전선로의 고장점 표정 알고리즘)

  • Park, Chul-Won
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.1
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    • pp.18-24
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    • 2016
  • In order to service restoration and enhance power system reliability, a number of impedance based fault location algorithms have been developed for fault locating in a transmission line. This paper presents an advanced impedance-based fault location algorithms in a two-ended sources transmission line to reduce the DC offset error effects. This fault location algorithm uses of the GPS time synchronized voltage and current signals from the local and remote terminal. The algorithm uses an advanced DC offset removal filter. A series of test results using ATPdraw simulation data show the performance effectiveness of the proposed algorithm. The proposed algorithm is valid for a two-end sources transmission network.

Analysis of Sequence Impedances of 345kV Cable Transmission Systems (실계통 345kV 지중송전선 대칭좌표 임피던스의 해석)

  • Choi, Jong-Kee;Ahn, Yong-Ho;Yoon, Yong-Beum;Oh, Sei-Ill;Kwa, Yang-Ho;Lee, Myoung-Hee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.7
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    • pp.905-912
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    • 2013
  • Power system fault analysis is commonly based on well-known symmetrical component method, which describes power system elements by positive, negative and zero sequence impedance. In case of balanced fault, such as three phase short circuit, transmission line can be represented by positive sequence impedance only. The majority of fault in transmission lines, however, is unbalanced fault, such as line-to-ground faults, so that both positive and zero sequence impedance is required for fault analysis. When unbalanced fault occurs, zero sequence current flows through earth and skywires in overhead transmission systems and through cable sheaths and earth in cable transmission systems. Since zero sequence current distribution between cable sheath and earth is dependent on both sheath bondings and grounding configurations, care must be taken to calculate zero sequence impedance of underground cable transmission lines. In this paper, conventional and EMTP-based sequence impedance calculation methods were described and applied to 345kV cable transmission systems (4 circuit, OF 2000mm2). Calculation results showed that detailed circuit analysis is desirable to avoid possible errors of sequence impedance calculation resulted from various configuration of cable sheath bonding and grounding in underground cable transmission systems.