• Title/Summary/Keyword: Power System Blockset

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A Fault Location Algorithm for on DC Railway Systems (직류철도 급전계통 고장점표정)

  • Yang, Eon-Phil;Kang, Sang-Hee;Lee, Seung-Jae;Choi, Myeon-Song
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.3-5
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    • 2002
  • If a fault occurs in the DC railway system, it is important to find fault location and to remove it immediately for prompt repair. The aim of the present paper is to locate the position of the fault by using Kirchhoff's voltage law(KVL). The DC railway system is simulated using Power System Blockset(PSB) in Matlab Toolbox.

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A Three-Phase Four-Wire DSTATCOM for Power Quality Improvement

  • Singh, Bhim;Jayaprakash, P.;Kothari, D.P.
    • Journal of Power Electronics
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    • v.8 no.3
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    • pp.259-267
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    • 2008
  • Power quality improvement in a three-phase four-wire system is achieved using a new topology of DSTATCOM (distribution static compensator) consisting of a star/delta transformer with a tertiary winding and a three-leg VSC (voltage source converter). This new topology of DSTATCOM is proposed for power factor correction or voltage regulation along with harmonic elimination, load balancing and neutral current compensation. A tertiary winding is introduced in each phase for a delta connected secondary in addition to the star-star windings and this delta connected winding is responsible for neutral current compensation. The dynamic performance of the proposed DSTATCOM system is demonstrated using MATLAB with its Simulink and Power System Blockset (PSB) toolboxes under varying loads. The capacitor supported DC bus of the DSTATCOM is regulated to the reference voltage under varying loads.

Automatic Classification of Power System Harmonic Disturbances (전력시스템 고조파 외란의 자동식별)

  • Kim, Byoung-Chul;Kim, Hyun-Soo;Nam, Sang-Won
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.7
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    • pp.551-558
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    • 2000
  • In this paper a systematic approach to automatic classificationi of power system harmonic disturbances is proposed where the proposed approach consists of the following three steps:(i) detecting and localizing each harmonic disturbance by applying discrete wavelet transform(DWT) (ii) extracting an efficient feature vector from each detected disturbance waveform by utilizing FFT and principal component analysis (PCA) along with Fisher's criterion and (iii) classifying the corresponding type of each harmonic disturbance by recognizing the pattern of each feature vector. To demonstrate the performance and applicability of the proposed classification procedure some simulation results obtained by analyzing 8-class power system harmonic disturbances being generated with Matlab power system blockset are also provided.

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Feature Vector Extraction using Time-Frequency Analysis and its Application to Power Quality Disturbance Classification (시간-주파수 해석 기법을 이용한 특징벡터 추출 및 전력 외란 신호 식별에의 응용)

  • 이주영;김기표;남상원
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.619-622
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    • 2001
  • In this paper, an efficient approach to classification of transient and harmonic disturbances in power systems is proposed. First, the Stop-and-Go CA CFAR Detector is utilized to detect a disturbance from the power signals which are mixed with other disturbances and noise. Then, (i) Wigner Distribution, SVD(Singular Value Decomposition) and Fisher´s Criterion (ii) DWT and Fisher´s Criterion, are applied to extract an efficient feature vector. For the classification procedure, a combined neural network classifier is proposed to classify each corresponding disturbance class. Finally, the 10 class data simulated by Matlab power system blockset are used to demonstrate the performance of the proposed classification system.

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A Fault Detection and Location Algorithm Using a Time Constant for DC Railway Systems (시정수를 이용한 직류철도급전계통에서의 고장판단 및 고장점표정 알고리즘)

  • 양언필;강상희;권영진
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.10
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    • pp.563-570
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    • 2003
  • When a fault occurs on railway feeders it is very important to detect the fault to protect trains and facilities. Because a DC railway system has low feeder voltage, The fault current can be smaller than the current of load starting. So it is important to discriminate between the small fault current and the load starting current. The load starting current increases step by step but the fault current increases at one time. So the type of $\Delta$I/ relay(50F) was developed using the different characteristics between the load starting current and the fault current. The load starting current increases step by step so the time constant of each step is much smaller than that of the fault current. First, to detect faults in DC railway systems, an algorithm using the time constant calculated by the method of least squares is presented in this paper. If a fault occurs on DC railway systems it is necessary to find a fault location to repair the faulted system as soon as possible. The second aim of the paper is to calculate the accurate fault location using Kirchhoff's voltage law.