• 제목/요약/키워드: Transformer modeling

검색결과 179건 처리시간 0.025초

Dynamic Hysteresis Model Based on Fuzzy Clustering Approach

  • Mourad, Mordjaoui;Bouzid, Boudjema
    • Journal of Electrical Engineering and Technology
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    • 제7권6호
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    • pp.884-890
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    • 2012
  • Hysteretic behavior model of soft magnetic material usually used in electrical machines and electronic devices is necessary for numerical solution of Maxwell equation. In this study, a new dynamic hysteresis model is presented, based on the nonlinear dynamic system identification from measured data capabilities of fuzzy clustering algorithm. The developed model is based on a Gustafson-Kessel (GK) fuzzy approach used on a normalized gathered data from measured dynamic cycles on a C core transformer made of 0.33mm laminations of cold rolled SiFe. The number of fuzzy rules is optimized by some cluster validity measures like 'partition coefficient' and 'classification entropy'. The clustering results from the GK approach show that it is not only very accurate but also provides its effectiveness and potential for dynamic magnetic hysteresis modeling.

Phase Shift Analysis and Phase Identification for Distribution System with 3-Phase Unbalanced Constant Current Loads

  • Byun, Hee-Jung;Shon, Sugoog
    • Journal of Electrical Engineering and Technology
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    • 제8권4호
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    • pp.729-736
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    • 2013
  • Power grids are large complicated networks in use around. An absolute phase value for a particular unknown-phase line at a local site should be identified for the operation and management of a 3-phase distribution network. The phase shift for a specific point in the line, as compared with a phase reference point at a substation, must be within a range of ${\pm}60^{\circ}$ for correct identification. However, the phase shift at a particular point can fluctuate depending on the line constants, transformer wiring method, line length, and line amperage, etc. Conducted in this study is a theoretical formulation for the determination of phase at a specific point in the line, Simulink modeling, and analysis for a distribution network. In particular, through evaluating the effects of unbalanced current loads, the limitations of the present phase identification methods are described.

반도체 변압기용 단상 계통 연계형 인버터의 소신호 모델링 및 제어기 설계에 관한 연구 (A Research on Small Signal Modeling and Controller Design of a Single-Phase Grid-Connected Inverter for a SST)

  • 김보경;최현준;정지훈
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2015년도 전력전자학술대회 논문집
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    • pp.231-232
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    • 2015
  • 본 논문에서는 반도체 변압기(Solid State Transformer; SST)를 구성하는 단상 계통 연계형 인버터의 소신호 모델링과 이를 통한 효과적인 제어기 설계 방법을 제안한다. 평균화, 선형화 및 주파수 영역으로의 변환 단계를 거쳐 소신호 모델링을 수행하여 인버터 시스템의 전달함수를 얻을 수 있다. 이를 이용해 다양한 변동에 대한 인버터의 안정도와 동작 특성을 파악하고, 전압 제어기 및 전류 제어기를 설계하여 동작 영역에서 인버터의 안정적인 동작과 적절한 동특성이 확보되도록 한다. 본 논문에서 제안된 모델링과 제어 방법은 시뮬레이션을 통해 유효성을 검증하였다.

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계통연계 풍력 및 태양광발전시스템 고조파 영향 검토 (Harmonic Impact Studies of Grid-Connected Wind Power and PV Generation Systems)

  • 이상민;정형모;유권종;이강완
    • 전기학회논문지
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    • 제58권11호
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    • pp.2185-2191
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    • 2009
  • Wind power and photovoltaic(PV) generation systems are the fastest growing sources of renewable energy. The nonlinear devices, such as power electronic converter or inverter, of wind power and PV generation systems are the source of harmonics in power systems. The harmonic-related problems can have significant detrimental effects in the power system, such as capacitor heating, data communication interference, rotating equipment heating, transformer heating, relay misoperation and switchgear failure. There is a greater need for harmonic analysis that can properly maintain the power quality. By measuring harmonics of existing wind power and PV generation systems as harmonics modeling, the studies were made to see the harmonic impact of grid-connected wind power and PV generation systems.

IPLAN을 이용한 ULTC와 전압안정도 해석 (ULTC and Voltage Stability Analysis with use of IPLAN)

  • 홍영환;백영식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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    • pp.223-226
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    • 2004
  • This paper describers the power demand and the voltage stability in power system. Especially the power demand on summer is more and more increase in korea. According to load quantity is increasing voltage is getting down. And power system becomes unstable. So this paper is prevent voltage down using to ULTC modeling which is a part in a transformer. Therefore our purpose is power system stability increasing as variable state like a load increasing or a fault. Then this paper is using IPLAN and PSS/E as analysis tool. PSS/E is very powerful engine on load flow analysis. And IPLAN is capable of using on variable program compiling with user.

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배전 시스템의 고조파 분석 및 모델링에 관한 연구 (Harmonics Analysis and Modelling for Distribution System)

  • 성병화;왕용필;정형환;박희철;박인표
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.267-269
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    • 2004
  • Recently, due to increasing the application of power electronic equipment, harmonics generated from the non-liner load are fairy produced. Harmonics can cause a distribution problems such as the overheating of distribution transformer, the breakdown of device and communication interference. Interest about power quality decline of distribution system is very increased. In this paper, we are measured the harmonic voltage and current of distribution system to analyze harmonic characteristics, and it is analyzed Total Harmonic Distortion(HTD). Also, we are modeled distribution system using PSCAD/EMTDC. And it is analyzed harmonic voltage and current in steady-state. The study result have been indicated the utility about harmonics analysis and modeling for distribution system.

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작성자 언어적 특성 기반 가짜 리뷰 탐지 딥러닝 모델 개발 (Development of a Deep Learning Model for Detecting Fake Reviews Using Author Linguistic Features)

  • 신동훈;신우식;김희웅
    • 한국정보시스템학회지:정보시스템연구
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    • 제31권4호
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    • pp.01-23
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    • 2022
  • Purpose This study aims to propose a deep learning-based fake review detection model by combining authors' linguistic features and semantic information of reviews. Design/methodology/approach This study used 358,071 review data of Yelp to develop fake review detection model. We employed linguistic inquiry and word count (LIWC) to extract 24 linguistic features of authors. Then we used deep learning architectures such as multilayer perceptron(MLP), long short-term memory(LSTM) and transformer to learn linguistic features and semantic features for fake review detection. Findings The results of our study show that detection models using both linguistic and semantic features outperformed other models using single type of features. In addition, this study confirmed that differences in linguistic features between fake reviewer and authentic reviewer are significant. That is, we found that linguistic features complement semantic information of reviews and further enhance predictive power of fake detection model.

대용량 초전도 신전력계통 보호방식 문제해결을 위한 기본연구 (A basic study on protection system of superconductivity power system)

  • 이승렬;김종율;윤재영;이병준
    • 한국초전도ㆍ저온공학회논문지
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    • 제9권3호
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    • pp.16-20
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    • 2007
  • This paper describes protection system of new distribution power system with superconducting power devices such as HTS cable, HTS transformer, HTS-FCL. First of all, this paper investigates protection systems of Korean power system and then do a basic study on relaying systems in the power system with HTS power devices. For the more detailed results, we did the study using EMTDC relaying system modeling from the viewpoint of superconducting power devices application. Then we proposed some solution for a high resistance fault problem.

PSCAD/EMTDC 프로그램을 이용한 제주 80kV HVDC 제어기 모델링 (Jeju 80kV HVDC Controller Modeling Using PSCAD/EMTDC Program)

  • 최순호;이성두;김찬기
    • 전력전자학회논문지
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    • 제16권6호
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    • pp.533-541
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    • 2011
  • 본 논문에서는 PSCAD/EMTDC 프로그램을 통해 제주 80kV Pilot HVDC 시스템을 구현하고 제어기를 모델링하였다. ac 계통 연계 시뮬레이션을 위해 제주 ac 계통을 축약하였으며, dc 계통 시뮬레이션을 위해 컨버터 변압기, 고조파 필터 및 dc 전송선로의 설계 파라미터를 적용하였다. HVDC 제어기는 컨버터의 운전모드에 따라 인버터 제어기와 정류기 제어기로 나뉘며, 인버터 제어기는 전류제어기, 전압제어기, 소호각 제어기로 구현하였고, 정류기의 제어기는 전류제어기 및 전압제어기로 구현하였다. 인버터와 컨버터의 V-I 특성곡선에 VDCOL을 적용하여 전압에 따른 전류의 의존 특성을 반영하였다. 제어기의 단위 응답, ac 계통 단상 지락 고장, 3상 지락 고장에 대해 시뮬레이션하여 설계한 제어기의 정상상태 및 과도상태시 동특성을 검증하였다.

언어적 특성과 서비스를 고려한 딥러닝 기반 한국어 방언 기계번역 연구 (Deep Learning-based Korean Dialect Machine Translation Research Considering Linguistics Features and Service)

  • 임상범;박찬준;양영욱
    • 한국융합학회논문지
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    • 제13권2호
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    • pp.21-29
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    • 2022
  • 본 논문은 방언 연구, 보존, 의사소통의 중요성을 바탕으로 소외될 수 있는 방언 사용자들을 위한 한국어 방언 기계번역 연구를 진행하였다. 사용한 방언 데이터는 최상위 행정구역을 기반으로 배포된 AIHUB 방언 데이터를 사용하였다. 방언 데이터를 바탕으로 Transformer 기반의 copy mechanism을 적용하여 방언 기계번역기의 성능 향상을 도모하는 모델링 연구와 모델 배포의 효율성을 도모하는 Many-to-one 기반의 방언 기계 번역기를 제안한다. 본 논문은 one-to-one 모델과 many-to-one 모델의 성능을 비교 분석하고 이를 다양한 언어학적 시각으로 분석하였다. 실험 결과 BLEU점수를 기준으로 본 논문이 제안하는 방법론을 적용한 one-to-one 기계번역기의 성능 향상과 many-to-one 기계번역기의 유의미한 성능을 도출하였다.