• 제목/요약/키워드: Mean Power

검색결과 2,173건 처리시간 0.026초

A Singular Value Decomposition based Space Vector Modulation to Reduce the Output Common-Mode Voltage of Direct Matrix Converters

  • Guan, Quanxue;Yang, Ping;Guan, Quansheng;Wang, Xiaohong;Wu, Qinghua
    • Journal of Power Electronics
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    • 제16권3호
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    • pp.936-945
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    • 2016
  • Large magnitude common-mode voltage (CMV) and its variation dv/dt have an adverse effect on motor drives that leads to early winding failure and bearing deterioration. For matrix converters, the switch states that connect each output line to a different input phase result in the lowest CMV among all of the valid switch states. To reduce the output CMV for matrix converters, this paper presents a new space vector modulation (SVM) strategy by utilizing these switch states. By this mean, the peak value and the root mean square of the CMV are dramatically decreased. In comparison with the conventional SVM methods this strategy has a similar computation overhead. Experiment results are shown to validate the effectiveness of the proposed modulation method.

시계열 모형과 기계학습 모형을 이용한 풍력 발전량 예측 연구 (Wind power forecasting based on time series and machine learning models)

  • 박수진;이진영;김삼용
    • 응용통계연구
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    • 제34권5호
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    • pp.723-734
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    • 2021
  • 빠르게 발전하고 있는 재생에너지 중 하나인 풍력에너지는 기후변화 대응에 맞추어 개발 및 투자가 이루어지고있다. 신재생에너지 정책과 발전소 설치가 추진됨에 따라 국내 풍력 보급이 점차 확대되어 수요를 정확히 예측하기 위한 시도들이 확대되고 있다. 본 논문에서는 전남지역과 경북지역의 풍력 발전량 예측을 위하여 시계열 기법인 ARIMA, ARIMAX 모형과 기계학습 모형인 SVR, Random Forest, XGBoost 모형들을 비교 분석하였다. 모형의 예측 결과를 비교하기 위한 지표로서 mean absolute error (MAE)와 mean absolute percentage error (MAPE)를 사용하였다. 2018년 1월 1일부터 2020년 10월 24일까지의 시간별 원 데이터를 차분한 후 모형을 훈련시켜 2020년 10월 25일부터 2020년 10월 31일까지의 168시간에 대한 풍력 발전량을 예측하였다. 모형의 예측력 비교 결과, Random Forest와 XGBoost 모형이 전남지역, 경북지역 순으로 가장 우수한 성능을 보였다. 향후 연구에서는 기계학습뿐 아니라 최근 활발한 연구가 이루어지는 데이터 마이닝 기법 기반의 풍력 발전량 예측을 시도할 것이다.

Comparison of CME mean density based on a full ice-cream cone structure and its corresponding ICME one

  • Na, Hyeonock;Moon, Yong-Jae
    • 천문학회보
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    • 제43권1호
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    • pp.54.1-54.1
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    • 2018
  • For space weather forecast, it is important to determine three-dimensional parameters of coronal mass ejections (CMEs). To estimate three-dimensional parameters of CMEs, we have developed a full ice-cream cone model which is a combination of a symmetrical flat cone and a hemisphere. By applying this model to 12 SOHO/LASCO halo CMEs, we find that three-dimensional parameters from our method are similar to those from other stereoscopic methods. For several geoeffective CME events, we determine CME mass by applying the Solarsoft procedure (e.g., cme_mass.pro) to SOHO/LASCO C3 images. CME volumes are estimated from the full ice-cream cone structure. We derive CME mean density as a function of CME height for these CMEs, which are approximately fitted to power-law functions. We find that the ICME mean densities extrapolated from the power law functions, are correlated with their corresponding ICME ones in logarithmic scales.

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도심 마이크로셀에서의 무선 전파지연 특성에 관한 실험적 분석 (Experimenatal analysis of radio propagation delay characteristics in urban microcells)

  • 박시우;곽우영;박진우
    • 한국통신학회논문지
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    • 제21권9호
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    • pp.2494-2504
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    • 1996
  • This paper describes about the spread specturm radio wave propagation characteristics in urban microcells. The experiments are carried out with respect to the mean excess delay, the RMS delay spread, and the received maximum peak power in the two kinds of geogrphical areas, LOS area and N-LOS area, especially whose variations are observed while varying the transmission distance and tilting the transmitting antenna. The typical results obtained in pariticular urban sites in Seoul are 300-600 nsec of mean excess delay and about 75 nsec of averaged RMS delay spread for LOS area, and 270-280 nsec of mean excess delay and about 100 nsec for N-LOS area. With the transmitting antenna gilted, obsered in the experiments are increase in RMS delay spread as expected, but increase of the received power at N-LOS areas in particular.

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Count Five Statistics Using Trimmed Mean

  • Hong, Chong-Sun;Jun, Jae-Woon
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.309-318
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    • 2006
  • There are many statistical methods of testing the equality of two population variances. Among them, the well-known F test is very sensitive to the normality assumption. Several other tests that do not assume normality have been proposed, but these tests usually need tables of critical values or software for hypotheses testing. McGrath and Yeh (2005) suggested a quick and compact Count Five test requiring only the calculation of the number of extreme points. Since the Count Five test uses only extreme values, this discards some information from the samples, often resulting in a degradation in power. In this paper, an alternative Count Five test using the trimmed mean is proposed and its properties are discussed for some distributions and normal mixtures.

전자유압식 분사계에 의한 초고압 디젤분무의 입경분포에 관한 연구 (A Study on the Droplet Size Distribution of Ultra High Pressure Diesel Spray on Electronic Hydraulic Fuel Injection System)

  • 장세호;안수길
    • 동력기계공학회지
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    • 제2권1호
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    • pp.25-30
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    • 1998
  • In order to investigate the droplet size distribution and Sauter Mean Diameter in a ultra high pressure diesel spray, fuel was injected with ultra high pressure into the environments of high pressure and room temperature by an Electronic Hydraulic Fuel Injection System. Droplet size was measured with the immersion liquid sampling technique. The immersion liquid was used a mixture of water-methycellulose solution and ethanol. The Sauter Mean Diameter decreased with increasing injection pressure, with a decrease environmental pressure (back pressure) and nozzle diameter. Increasing the injection pressure makes the fuel density distribution of the spray more homogeneous. An empirical correlation was developed among injection pressure, air density, nozzle diameter and the Sauter Mean Diameter of spray droplets.

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난류 파이프 유동 내 다섯 개의 영역 (Five layers in turbulent pipe flow)

  • 안준선;황진율
    • 한국가시화정보학회지
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    • 제18권3호
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    • pp.109-115
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    • 2020
  • Five layers in mean flow are proposed by using the direct numerical simulation data of turbulent pipe flow up to Reτ = 3008. Viscous sublayer, buffer layer, mesolayer, log layer and core region are investigated. In the buffer layer, the viscous force is counterbalanced by the turbulent inertia from the streamwise mean momentum balance, and a log law occurs here. The overlap layer is composed of the mesolayer and the log layer. Above the buffer layer, the non-negligible viscous force causes the power law, and this region is the mesolayer, where it is the lower part of the overlap layer. At the upper part of the overlap layer, where the viscous force itself becomes naturally negligible, the log layer will appear due to that the acceleration force of the large-scale motions increases as the Reynolds number increases. In the core region, the velocity-defect form is satisfied with the power-law scaling.

대규모 와 모사에 의한 3차원 소형축류홴의 운전부하에 따른 난류유동 특성치 고찰 (An Investigation on Turbulent Flow Characteristics According to the Operating Loads of Three-Dimensional Small-Size Axial Fan by Large Eddy Simulation)

  • 김장권;오석형
    • 동력기계공학회지
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    • 제20권1호
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    • pp.50-56
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    • 2016
  • This paper handled an investigation on the turbulent flow characteristics of three-dimensional small-size axial fan(SSAF) according to operating loads. Also, it was carried out by unsteady-state, incompressible and three-dimensional large eddy simulation(LES). The downstream flow type of SSAF is changed from axial flow to radial flow around the beginning of stall region at the aerodynamic performance curve. Axial mean velocity component largely grows around blade tip at the operating point of A to D, but transverse and vertical mean velocity components as well as Reynolds shear stresses highly develop around blade tip at the operating point of E to H. On the other hand, the peak value of turbulent kinetic energy developed around blade tip shows the highest at the operating point of E.

와이블데이터를 이용한 소형풍력발전기 출력에 대한 평가 (Evaluating the Output of Small-size Wind Power Generators Using Weibull Data)

  • 유기표;김영문
    • 한국태양에너지학회 논문집
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    • 제32권2호
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    • pp.95-104
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    • 2012
  • This study purposed to predict wind energy for small size wind power generators at 50m above the ground in each area using mean wind speed data for 10 minutes collected from 2001 to 2011 by meteorological data in large cities having over 60% of 15 story (50m) or higher apartments including Seoul, Daejeon, Gwangju and Daegu representing the inland region, and Busan, Incheon and Ulsan representing the coastal region. In the results of analysis, we confirmed close agree ment between observatory weather data and probability density distribution obtained using Weibull's parameters, and this suggests that Weibull's parameter is applicable to the estimation of wind energy. Hourly output energy using the mean wind speed for 10 minutes and output energy obtained from Weibull's parameter showed an error less than 5%, and thus it was found that wind energy can be evaluated using Weibull's modulus.

신용평가모형에서 타당성검증 통계량들의 판단기준 (Criterion of Test Statistics for Validation in Credit Rating Model)

  • 박용석;홍종선;임한승
    • Communications for Statistical Applications and Methods
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    • 제16권2호
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    • pp.239-347
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    • 2009
  • 신용평가모형의 판별력에 대한 검정방법으로 콜모고로프-스미르노프, 평균차이, AUROC, AR등과 같은 통계량이 널리 사용되고 있다. 이러한 통계량들의 판단기준은 정규분포 가정 하에서 평균차이를 기준으로 설정되었다. 본 연구에서는 모의 실험을 통해서 표본크기, 불량률 그리고 제II종 오류율을 고려하는 대안적인 판단기준을 제 안하고 현재 적용되고 있는 판단기준과 비교해본다. 또한 판별력 정도에 따른 각 통계량들의 의미를 10단계로 정의하고 모의 실험 결과와 현재 적용되고 있는 판단기준을 비교해 본다.