• Title/Summary/Keyword: 순시변동

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Speed Sensorless Control of Induction Motors in the Very tow Speed Region Considering the Secondary Resistance Identification (2차저항 동정을 고려한 유도전동기의 저속영역 속도센서리스 제어)

  • 황동일;이진국;정석권
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.37 no.1
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    • pp.57-65
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    • 2001
  • The speed control without a speed sensor is expected strongly to progress reliability, simplicity and cost performance of Induction Motor(I.M) systems. Also, it contributes to expansion of I.M systems into various industrial application fields. This paper investigates a novel speed sensorless control method of I.M considering the secondary resistance identification based on the transientless torque control technique. Especially, this paper aimed at the identification of the secondary resistance simultaneously with speed estimation superposing of sinusoidal flux wave to a constant flux value. Furthermore, the secondary flux with some frequency is controlled independently on torque control. The proposed speed estimation method is derived from a motor circuit equation theoretically and also it can be conducted easily by detecting primary motor currents and primary voltage commands at every sampling time. Some numerical simulations with the assumption of using a pulse width modulation(PWM) voltage source inverter are performed to verify the proposed method.

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Adaptive Fuzzy-Neuro Controller for High Performance of Induction Motor (유도전동기의 고성능 제어를 위한 적응 퍼지-뉴로 제어기)

  • Chung, Dong-Hwa;Choi, Jung-Sik;Ko, Jae-Sub
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.3
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    • pp.53-61
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    • 2006
  • This paper is proposed adaptive fuzzy-neuro controller for high performance of induction motor drive. The design of this algorithm based on fuzzy-neural network controller that is implemented using fuzzy control and neural network. This controller uses fuzzy nile as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the adaptive fuzzy-neuro controller is evaluated by analysis for various operating conditions. The results of experiment prove that the proposed control system has strong high performance and robustness to parameter variation, and steady-state accuracy and transient response.

Design of the Fuel Cell Powered Line-Interactive UPS System (연료전지 시스템을 이용한 Line-Interactive 방식의 무정전 전원 공급 장치의 설계)

  • Choi, Woo-Jin;Jeon, Hee-Jong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.6
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    • pp.205-212
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    • 2004
  • In this paper the design of a 1-[KVA] fuel cell powered line-interactive UPS system employing modular (fuel cell & DC/DC converter) blocks is proposed. The proposed system employs the two fuel cell modules along with suitable DC/DC converters and these modules share the DC-Link of the DC/AC inverter. A supercapacitor module is also employed to compensate for the instantaneous power fluctuations and to overcome the slow dynamics of the fuel processor. The energy stored in the supercapacitor can also be utilized to handle the overload conditions for a short time period. Due to the absence of batteries, the system satisfies the demand for an environmentally friendly and dean source of the energy. A complete design example illustrating the amount of hydrogen storage required for 1hr power outage, and sizing of supercacpacitor for transient load demand is presented for a 1-[KVA] UPS.

A Study on the Control System of Maximum Demand Power Using Neural Network and Fuzzy Logic (신경망과 퍼지논리를 이용한 최대수요전력 제어시스템에 관한연구)

  • 조성원
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.4
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    • pp.420-425
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    • 1999
  • The maximum demand controller is an electrical equipment installed at the consumer side of power system for monitoring the electrical energy consumed during every integrating period and preventing the target maximum demand (MD) being exceeded by disconnecting sheddable loads. By avoiding the peak loads and spreading the energy requirement the controller contributes to maximizing the utility factor of the generator systems. It results in not only saving the energy but also reducing the budget for constructing the natural base facilities by keeping thc number of generating plants ~ninimumT. he conventional MD controllers often bring about the large number of control actions during the every inteyating period and/or undesirable loaddisconnecting operations during the beginning stage of the integrating period. These make the users aviod the MD controllers. In this paper. fuzzy control technique is used to get around the disadvantages of the conventional MD control system. The proposed MD controller consists of the predictor module and the fuzzy MD control module. The proposed forecasting method uses the SOFM neural network model, differently from time series analysis, and thus it has inherent advantages of neural network such as parallel processing, generalization and robustness. The MD fuzzy controller determines the sensitivity of control action based on the time closed to the end of the integrating period and the urgency of the load interrupting action along the predicted demand reaching the target. The experimental results show that the proposed method has more accurate forecastinglcontrol performance than the previous methods.

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C00rdinated Testing between transformer Tap Selection and Inverter Voilage Control in the PV Distributed Generation system (태양광 분산 발전 시스템의 계통연계용 변압기탭 선정과 인버터전압조정 협조시험)

  • Yoon, kap koo;CHO, SeongSoo
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1098-1099
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    • 2015
  • ${\bullet}$ 시험대상: 영월태양광 4,990kW(998kW ${\times}$ 5호) ${\bullet}$ 13.07.31 연계기술검토의뢰 ${\bullet}$ 13.08.28 한전검토결과: 인근변전소 영월S/S(40MW) 초과로 10.8km 지점의 평창 D/L 평창간 347호 주진S/S에 다음의 보완대책과 연계 권고 ${\cdot}$ 문제점: 적정전압이탈 및 순시전압변동률 유지불가 ${\cdot}$ 연계기준만족을 위해 한전에서 제시한 보완대책 : 계통용량증설(설비보강), 연계용량 감소 및 전용선로 연계 ${\bullet}$ 14.01.09 분산형설치자의 용역사(에이스기술단)에서 송배전용전기설비 이용규정과 연계기준 만족을 위한 보완대책 제안 ${\cdot}$ 태양광발전시스템 인버터 자동전압(역률/무효전력) 조정기능 및 감시설비 구비 ${\cdot}$ 최적 공통연결점 선정: 분산형전원으로 부터 전기적으로 가장 가까운 영월D/L 영월S/S측에 개폐장치설치 하고 주진S/S 측으로 연계 ${\bullet}$ 14.01.29~06.19 한전(전력연구원)의 유효성 검토 ${\cdot}$ 보완대책 기술적 유효(실증시험 시행 후 시행공문 발송 예정) ${\bullet}$ 14.08.08 송배전용전기설비 이용규정 개정에 따른 협의 ${\cdot}$ 변압기 대당 20MW에서 25MW ${\cdot}$ 변전소 전체 60MW에서 75MW까지 허용 ${\cdot}$ 영월 S/S 측 문곡/영월 D/L 연계 공사 협의 ${\bullet}$ 14.10.04 사용전검사, 한전계통연계운전 시작 ${\bullet}$ 인버터 고정역률(99.9~100%) 운전 시험 ${\cdot}$ 14.11.21 22.9kV 계전기(SEL-751) 5대, 15분 간격 자료저장 ${\cdot}$ SEL-751/USB to RS232C/노트북 15분간격 측정(첨부) ${\bullet}$ 14.03.07 인버터 역률 95.0% 조정 15분간격 측정(첨부) ${\bullet}$ 변압기탭 선정과 인버터전압조정협조시험 계획 ${\cdot}$ 변압기탭을 현장에서 상하 1탭씩 변경 ${\cdot}$ 인버터역률을 인버터공급사에서 원격조정 ${\cdot}$ 22.9kV 보호계전기 SEL-751, 15분 간격 측정 ${\cdot}$ 인버터 370V 계전기 K-PAM DG3000/현장감시설비 연계 ${\cdot}$ 15분 간격 측정 저장 ${\cdot}$ 현장감시설비/인터넷 연결 원격측정(첨부예정)

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Temperature Prediction Method for Superheater and Reheater Tubes of Fossil Power Plant Boiler During Operation (화력발전 보일러 과열기 및 재열기 운전 중 튜브 온도예측기법)

  • Kim, Bum-Shin;Song, Gee-Wook;Yoo, Seong-Yeon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.5
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    • pp.563-569
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    • 2012
  • The superheater and reheater tubes of a heavy-load fossil power plant boiler can be damaged by overheating, and therefore, the degree of overheating is assessed by measuring the oxide scale thickness inside the tube during outages. The tube temperature prediction from the oxide scale thickness measurement is necessarily accompanied by destructive tube sampling, and the result of tube temperature prediction cannot be expected to be accurate unless the selection of the overheated point is precise and the initial-operation tube temperature has been obtained. In contrast, if the tube temperature is to be predicted analytically, considerable effort (to carry out the analysis of combustion, radiation, convection heat transfer, and turbulence fluid dynamics of the gas outside the tube) is required. In addition, in the case of analytical tube temperature prediction, load changes, variations in the fuel composition, and operation mode changes are hardly considered, thus impeding the continuous monitoring of the tube temperature. This paper proposes a method for the short-term prediction of tube temperature; the method involves the use of boiler operation information and flow-network-analysis-based tube heat flux. This method can help in high-temperaturedamage monitoring when it is integrated with a practical tube-damage-assessment method such as the Larson-Miller Parameter.