• Title/Summary/Keyword: Power Detection System

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Performance Evaluation of SHF Sensor for Partial Discharge Signal Detection on DC Rectifier (DC 정류기 부분방전 신호검출을 위한 SHF 센서의 성능평가)

  • Jung, Ho-Sung;Park, Young;Na, Hee-Seung;Jang, Soon-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.7
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    • pp.1056-1060
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    • 2012
  • Online monitoring system is becoming an essential element of railway traction system for utilized to condition based malignance management and various techniques currently employed in railway traction system. Among the various techniques, it is efficient to detect partial discharge signals by electromagnetic wave detection in order to detect insulation fault of rectifier. Although VHF (Very High Frequency), UHF (Ultra High Frequency) sensors were adopted to detect partial discharge of power facilities, due to characteristics of urban railway, excessive noise occurs from 500 MHz to 1.5 GHz on UHF bandwidth. In this paper a new measurement system able to monitoring the conditions of power facilities on DC substation in metro was studied and set up. The system uses UHF sensors to measure the partial discharge of the rectifier due to electric faulting and dielectric breakdown. Comparison and estimation for performance of SHF sensor which had devised to detect partial discharge signal of urban railway rectifier has conducted. In order to estimate performance of SHF sensor, we have compared the sensor with existing UHF sensor on sensitivity upon frequency bandwidth generated by pulse generator, and also we have verified performance of the SHF sensor by detection results of partial discharge signal from urban railway rectifier.

Crack Detection in Eggshell by Acoustic Responses (음향반응에 의한 계란의 크랙검출에 관한 연구)

  • 조한근;최완규;백진하
    • Journal of Biosystems Engineering
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    • v.23 no.1
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    • pp.67-74
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    • 1998
  • A nondestructive quality inspection technique using acoustic impulse response method was developed for eggshell inspection. An experimental system was built to generate the impact force, to measure the response signal and to analyze the frequency spectrum. This system includes an impulse generating unit, an egg holding seal a microphone with preamplifier, and a DSP board installed on Personal Computer. A simple algorithm .was developed for crack detection. Using the developed system with algorithm, crack detection ability was evaluated and the error rate to estimate the normal egg as cracked was found to be 4% and the error rate to estimate the cracked egg as normal was also found to be 4%. This system could be adopted in industry with some modification.

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DC Ground Fault Detection System for Photovoltaic Generation (태양광 발전용 직류 지락 검출장치)

  • Jang, Su-Jin;Lee, Jeong-Min;Kim, Wang-Moon;Goo, Tae-Hong;Suh, In-Young
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.408-411
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    • 2008
  • In this paper, a new DC ground fault detection system is proposed, which is suitable for photovoltaic power generation systems. The proposed ground fault systems is superposition of divide resistance and detection circuit. The proposed system has the characteristics of a simplified structure, reduced cost and volume compared with those of the conventional ground fault system for DC source. The operation principle of the proposed systems is described and verified by simulation result.

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Development of a New Islanding Detection Method for Distributed Resources (분산 전원의 고립 운전 검출 기법의 개발)

  • Jang, Seong-Il;Kim, Gwang-Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.11
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    • pp.506-513
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    • 2001
  • The islanding detection for distributed resources (DR) becomes an important and emerging issue in power system protection since the distributed generator installations are rapidly increasing and most of the installed systems are interconnected with distribution network. In order to avoid the negative impacts from islanding operations of DR on protection, operation and management of distribution system, it is necessary to effectively detect the islanding operations of DR and rapidly disconnect it from distribution network. Generally, it is difficult to detect islanding operation by monitoring only one system parameter This paper presents a new logic based islanding detection method for distributed resources(DR) which are interconnected with distribution network. The proposed method detects the islanding operation by monitoring four system parameter: voltage variation, phase displacement, frequency variation, and the variation of total harmonic distortion(THD) of current; therefore, it effectively detects island operation of DR unit operating in parallel with the distribution network. We also verified the efficiency of the proposed algorithm using the radial distribution network of IEEE 34 bus model.

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Development of Fault Detection Algorithm Using S-Transform (S-Transform을 이용한 고장 검출 알고리즘 개발)

  • Lee, Soon-Jeong;Seo, Hun-Chul;Choi, Hae-Sul;Kim, Chul-Hwan
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.774-775
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    • 2011
  • Recently, by increasing of devices which are sensitive to power quality, microprocessor and power electronics, the deterioration of power quality is accelerated. Accordingly, various methods for analysis, detection, compensation and countermeasure on power quality are proposed. For this, the study of distinction of various disturbances and fault which is occurred in power system is necessary to prior. Therefore, in this paper, the classification algorithm among steady state and single line to ground fault which is commonly occurred fault is proposed using S-Transform.

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Design of a 6-bit 500MS/s CMOS A/D Converter with Comparator-based Input Voltage Range Detection Circuit

  • Dae, Si;Yoon, Kwang Sub
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.6
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    • pp.706-711
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    • 2014
  • A low power 6-bit flash ADC that uses an input voltage range detection algorithm is described. An input voltage level detector circuit has been designed to overcome the disadvantages of the flash ADC which consume most of the dynamic power dissipation due to comparators array. In this work, four digital input voltage range detectors are employed and each input voltage range detector generates the specific clock signal only if the input voltage falls between two adjacent reference voltages applied to the detector. The specific clock signal generated by the detector is applied to turn the corresponding latched comparators on and the rest of the comparators off. This ADC consumes 68.82 mW with a single power supply of 1.2V and achieves 4.3 effective number of bits for input frequency up to 1 MHz at 500 MS/s. Therefore it results in 4.6 pJ/step of Figure of Merit (FoM). The chip is fabricated in 0.13-um CMOS process.

Mover position detection for Hydrogen Fueled linear generator (수소연소 선형 발전기의 이동자 위치 검출)

  • Kim, Shin-Ah;Jeong, Seung-Gi
    • Proceedings of the KIPE Conference
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    • 2011.11a
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    • pp.279-280
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    • 2011
  • In order to convert the mechanical movement of a linear generator to electrical power, the amateur current of the generator is controlled in accordance to the mover position. A linear encoder, usually used for direct detection of the mover position, not only is vulnerable to mechanical vibration, but also imposes significant constraint on the mechanical design of the generator system. Thus, this study proposes a method for indirect estimation of the mover position with emfs induced in amateur coils. The estimation algorithm is validated with simulation study.

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Bad Data Detection Method in Power System State Estimation (전력계통 상태 추정에서의 불량정보 검출기법)

  • Choi, Sang-Bong;Moon, Young-Hyun
    • Proceedings of the KIEE Conference
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    • 1990.11a
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    • pp.239-243
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    • 1990
  • This paper presents a algorithm to improve accuracy and reliability in state estimation of contaminated bad data. The conventional algorithms for detection of bad data confront the problems of excessive memory requirements and long computation time. In order to overcome measurement compensation approach is proposed to reduce computation time and partitioned measurement error model has the advantage of remarkable reduction in computation time and memory requirements in estimated error computation. The proposed algorithm has been tested for IEEE sample systems, which shows its applicability to on-line power systems.

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Bad Data Detection Method in Power System State Estimation (전력계통 상태주정에서의 불량정보 검출기법)

  • 최상봉;문영현
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.2
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    • pp.144-153
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    • 1991
  • This paper presents an algorithm to improve accuracy and reliability in the state estimation of contaminated bad data. The conventional algorithms for detection of bad data have the problems of excessive memory requirements and long computation time. In order to overcome these problems, a measurement compensation approach is proposed to reduce computation time, and the partitioned measurement error model has the advantage of remarkable reduction in computation time and memory requirements in estimated error computation. The proposed algorithm has been tested for IEEE sample systems, which shows its applicability to on-line power systems.

A Study on the Improvement of Fault Detection Capability for Fault Indicator using Fuzzy Clustering and Neural Network (퍼지클러스터링 기법과 신경회로망을 이용한 고장표시기의 고장검출 능력 개선에 관한 연구)

  • Hong, Dae-Seung;Yim, Hwa-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.3
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    • pp.374-379
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    • 2007
  • This paper focuses on the improvement of fault detection algorithm in FRTU(feeder remote terminal unit) on the feeder of distribution power system. FRTU is applied to fault detection schemes for phase fault and ground fault. Especially, cold load pickup and inrush restraint functions distinguish the fault current from the normal load current. FRTU shows FI(Fault Indicator) when the fault current is over pickup value or inrush current. STFT(Short Time Fourier Transform) analysis provides the frequency and time Information. FCM(Fuzzy C-Mean clustering) algorithm extracts characteristics of harmonics. The neural network system as a fault detector was trained to distinguish the inruih current from the fault status by a gradient descent method. In this paper, fault detection is improved by using FCM and neural network. The result data were measured in actual 22.9kV distribution power system.