• Title/Summary/Keyword: 상태공간평균화기법

Search Result 6, Processing Time 0.02 seconds

Small signal Model Analysis of multi-output switched-capacitor boost converter with buck differential power processor circuit (벅 차동전력조절 회로가 적용 된 다출력 스위치드-커패시터 부스트 컨버터의 소신호 모델 분석)

  • Lee, Chun-Gu;Park, Jung-Hyun;Park, Joung-Hu
    • Proceedings of the KIPE Conference
    • /
    • 2017.07a
    • /
    • pp.172-173
    • /
    • 2017
  • 본 논문은 벅 차동전력조절 회로가 적용 된 다출력 스위치드-커패시터 부스트 컨버터의 소신호 모델 분석에 대한 논문이다. 제안하는 회로는 각 태양광 모듈의 최대전력점을 추정하기 위해서 제어된다. 제안하는 회로는 상태 공간 평균화 기법과 시그널 플로우 그래프를 통해서 해석하였으며 PSIM과 MATLAB을 통해서 증명하였다.

  • PDF

Small signal Analysis of the buck-flyback stand-alone PV system for charge balancing with differential power processor circuit (차동전력조절기 회로를 적용한 독립형 태양광 벅-플라이백 전하균등화 회로의 소신호모델 분석)

  • Park, Jeong-Hyun;Park, Joung-Hu
    • Proceedings of the KIPE Conference
    • /
    • 2016.11a
    • /
    • pp.21-22
    • /
    • 2016
  • 본 논문에서는 차동전력조절방식을 추가하여 최대 전력점을 추종하는 동시에 출력단에 직렬로 연결된 부하가 전하 균등화 기능을 수행하는 회로를 제안한다. 제안하는 회로는 각각의 PV모듈을 제어를 하고, 이를 상태공간평균화기법을 이용하여 해석하였다. 본 논문에서의 전력조절기는 포워드컨버터로 구성 되어 있고, 주 컨버터인 전하균등화회로는 벅-플라이백컨버터로 구성하였다. 컨버터의 입력은 PV모듈을 직렬로 연결, 출력은 배터리를 직렬로 연결하여 제안한 기능을 구현하였다. 이에 따른 조건을 수식으로 증명하고, MATLAB과 모의 시뮬레이션 프로그램인 PSIM의 Bode plot을 비교하여 이를 검증하였다.

  • PDF

Boost Converter Modeling of Photovoltaic Conditioning System for MPPT ("PV Converter 모델링"을 적용한 MPPT제어기법)

  • Choi, Ju-Yeop;Choy, Ick;Song, Seung-Ho;An, Jin-Ung;Lee, Dong-Ha
    • Journal of the Korean Solar Energy Society
    • /
    • v.29 no.6
    • /
    • pp.1-13
    • /
    • 2009
  • Photovoltaic conditioning systems normally use a maximum power point tracking (MPPT) technique to deliver the highest possible power to the load continuously when variations occur in the insolation and temperature. A unique method of tracking the maximum power points (MPPs) and forcing the boost converter system to operate close to these points is presented through deriving small-signal model and transfer function of boost converter considering input capacitor. This paper aims at modeling boost converter including fairly large equivalent series resistance(ESR) of input reservoir capacitor by state-space-averaging method and PWM switch model and compares both methods using Bode plots. In the future, properly designed controller for compensation will be constructed in 3kw real system for maximum photovoltaic power tracking control.

Boost Converter Modelling of Photovoltaic Conditioning System Considering Input Capacitor (입력 커패시턴스를 포함한 PV Boost Converter 모델링)

  • Choi, Ju-Yeop;Lee, Ki-Ok;Choy, Ick;Song, Seung-Ho;Yu, Gwon-Jong
    • Journal of the Korean Solar Energy Society
    • /
    • v.28 no.5
    • /
    • pp.85-95
    • /
    • 2008
  • Photovoltaic conditioning systems normally use a maximum power point tracking (MPPT) technique to deliver the highest possible power to the load continuously when variations occur in the insolation and temperature. A unique method of tracking the maximum power points (MPPs) and forcing the boost converter system to operate close to these points is presented through deriving small-signal model and transfer function of boost converter considering input capacitor. This paper aims at modeling boost converter including fairly large equivalent series resistance(ESR) of input reservoir capacitor by state-space-averaging method and PWM switch model. In the future, properly designed controller for compensation will be constructed in 3kw real system for maximum photovoltaic power tracking control.

The Research On the Energy Storage System Using SuperCapacitor (슈퍼커패시터를 적용한 에너지 저장시스템 설계에 관한 연구)

  • Kim, IL-Song
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.8 no.11
    • /
    • pp.215-222
    • /
    • 2018
  • In this paper, the research on the energy storage system adapting super-capacitor has been performed. The most advanced features compared to the conventional lead-acid battery systems is that it can obtain high power capability due to the super capacitor power characteristics. The suggested system can attain high power in short times and achieve high power quality improvements. The application areas are power quality improvement system, motor start power which requires high power during transient times. The energy conversion system consists of bi-directional converter and inverter and advantages of high speed, high power charging and discharging performances. The design steps for the two loop controller of the bi-directional inverter are suggested and verified by the experiment and manufacturing. The two loop controller design starts from linearized transfer function which is calculated from the state averaging model including state decoupling method. The current controller requirements are 20% overshoot and settling time and voltage controller are no overshoot and settling time which is 10 times longer than current controller. The design is verified from the step input response. The designed controllers have unity power factor characteristics and thus can improve the power quality of the grid. It also has fast response time and zero steady state error.

Evaluations of Spectral Analysis of in vitro 2D-COSY and 2D-NOESY on Human Brain Metabolites (인체 뇌 대사물질에서의 In vitro 2D-COSY와 2D-NOESY 스펙트럼 분석 평가)

  • Choe, Bo-Young;Woo, Dong-Cheol;Kim, Sang-Young;Choi, Chi-Bong;Lee, Sung-Im;Kim, Eun-Hee;Hong, Kwan-Soo;Jeon, Young-Ho;Cheong, Chae-Joon;Kim, Sang-Soo;Lim, Hyang-Sook
    • Investigative Magnetic Resonance Imaging
    • /
    • v.12 no.1
    • /
    • pp.8-19
    • /
    • 2008
  • Purpose : To investigate the 3-bond and spatial connectivity of human brain metabolites by scalar coupling and dipolar nuclear Overhauser effect/enhancement (NOE) interaction through 2D- correlation spectroscopy (COSY) and 2D- NOE spectroscopy (NOESY) techniques. Materials and Methods : All 2D experiments were performed on Bruker Avance 500 (11.8 T) with the zshield gradient triple resonance cryoprobe at 298 K. Human brain metabolites were prepared with 10% $D_2O$. Two-dimensional spectra with 2048 data points contains 320 free induction decay (FID) averaging. Repetition delay was 2 sec. The Top Spin 2.0 software was used for post-processing. Total 7 metabolites such as N-acetyl aspartate (NAA), creatine (Cr), choline (Cho), lutamine (Gln), glutamate (Glu), myo-inositol (Ins), and lactate (Lac) were included for major target metabolites. Results : Symmetrical 2D-COSY and 2D-NOESY pectra were successfully acquired: COSY cross peaks were observed in the only 1.0-4.5 ppm, however, NOESY cross peaks were observed in the 1.0-4.5 ppm and 7.9 ppm. From the result of the 2-D COSY data, cross peaks between the methyl protons ($CH_3$(3)) at 1.33 ppm and methine proton (CH(2)) at 4.11 ppm were observed in Lac. Cross peaks between the methylene protons (CH2(3,$H{\alpha}$)) at 2.50ppm and methylene protons ($CH_2$,(3,$H_B$)) at 2.70 ppm were observed in NAA. Cross peaks between the methine proton (CH(5)) at 3.27 ppm and the methine proton (CH(4,6)) at 3.59 ppm, between the methine proton (CH(1,3)) at 3.53 ppm and methine proton (CH(4,6)) at 3.59 ppm, and between the methine proton (CH(1,3)) at 3.53 ppm and methine proton (CH(2)) at 4.05 ppm were observed in Ins. From the result of 2-D NOESY data, cross peaks between the NH proton at 8.00 ppm and methyl protons ($CH_3$) were observed in NAA. Cross peaks between the methyl protons ($CH_3$(3)) at 1.33 ppm and methine proton (CH(2)) at 4.11 ppm were observed in Lac. Cross peaks between the methyl protons (CH3) at 3.03 ppm and methylene protons (CH2) at 3.93 ppm were observed in Cr. Cross peaks between the methylene protons ($CH_2$(3)) at 2.11 ppm and methylene protons ($CH_2$(4)) at 2.35 ppm, and between the methylene protons($CH_2$ (3)) at 2.11 ppm and methine proton (CH(2)) at 3.76 ppm were observed in Glu. Cross peaks between the methylene protons (CH2 (3)) at 2.14 ppm and methine proton (CH(2)) at 3.79 ppm were observed in Gln. Cross peaks between the methine proton (CH(5)) at 3.27 ppm and the methine proton (CH(4,6)) at 3.59 ppm, and between the methine proton (CH(1,3)) at 3.53 ppm and methine proton (CH(2)) at 4.05 ppm were observed in Ins. Conclusion : The present study demonstrated that in vitro 2D-COSY and NOESY represented the 3-bond and spatial connectivity of human brain metabolites by scalar coupling and dipolar NOE interaction. This study could aid in better understanding the interactions between human brain metabolites in vivo 2DCOSY study.

  • PDF