• 제목/요약/키워드: Predicted power

검색결과 1,302건 처리시간 0.189초

다상 인터리브드 DC/DC 컨버터를 위한 모델기반의 예측 제어기법 (Model-Based Predictive Control for Interleaved Multi-Phase DC/DC Converters)

  • 최대근;이교범
    • 전력전자학회논문지
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    • 제19권5호
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    • pp.415-421
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    • 2014
  • This study proposes a model-based predictive control for interleaved multi-phase DC/DC converters. The power values necessary to adjust the output voltage in the succeeding are predicted using a converter model. The output power is controlled by selecting the optimal duty cycle. The proposed method does not require controller loops and modulators for converter switching. This method can control the converter by calculating the optimal duty cycle, which minimizes the error between the reference and actual output voltage. The effectiveness of the proposed method is verified through simulations and experiments.

한국철도 환경소음예측을 위한 음향파워 DB 구축에 관한 연구 (A Study on the Acoustic Power DB Building for Korean Railroad in order to Predict Nearby Noise)

  • 조준호;이덕희;정우성;신민호
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 춘계학술대회논문집
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    • pp.265-270
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    • 2001
  • For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requested, At home and abroad, many studies for prediction of railway nearby noise have been accomplished, But it is impossible to predict exactly for the Korean Railroad, because the acoustic power DB for each rolling stock used in Korea has not been builded yet. So in this study, acoustic power DB for each Korean rolling stock such as Samaeul, Mugungwha was builded according to the speed and rail support systems. Predicted results using accumulated acoustic power DB are compared with measured results and it is known that accumulated acoustic power DB can be used for more precise prediction of railway nearby noise.

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원전 복수계통 열교환기의 이음 원인 분석 (Abnormal Sound from Heat Exchanger of Condensate Water System at Nuclear Power Plant)

  • 이준신;이욱륜;김태룡
    • 한국소음진동공학회논문집
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    • 제26권4호
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    • pp.469-474
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    • 2016
  • Abnormal sound was heard from a heat exchanger of condensate water system in a nuclear power plant, which was identified as impact sound of a loose part later. Nuclear power plants are normally equipped with loose part monitoring system for primary water system, but not for secondary water system. The abnormal sound was analyzed by using the impact signal-processing methodology based on the Hertz theory. The predicted results for impact location and size of the loose part showed good agreement with those of the actual loose part found during the overhaul period in the plant. So, this analysis methodology for the impact signal will be widely utilized for the primary and secondary side of the nuclear power plant.

자동차 동력조향용 유압호스의 압력맥동 감쇠특성 (Attenuation Characteristics of Fluid-Borne Pressure Ripple in Automotive Power Steering Hydraulic Hoses)

  • 김도태
    • 한국생산제조학회지
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    • 제7권3호
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    • pp.22-28
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    • 1998
  • This paper presents experimental investigations on the attenuation characteristics of pressure ripple in automotive power steering hydraulic hoses. Also, a mathematical model of hydraulic hoses is proposed to support design of the power steering hydraulic circuit and analyze the attenuation characteristics of pressure ripples. The experimental results show that the pulsation attenuation characteristics of hydraulic hoses is remarkably affected by the flexible metal tube inserted coaxially inside a hydraulic hose with a finite length as well as viscoelastic properties of hose wall. It is also shown that the predicted results by the model proposed here agree well with the measured results over a wied range of frequency.

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HeMOSU-1호 관측풍속의 불확실성을 고려한 서남해안의 풍력 발전량 예측 (Prediction of Wind Power Generation at Southwest Coast of Korea Considering Uncertainty of HeMOSU-1 Wind Speed Data)

  • 이기남;김동현;권오순
    • 신재생에너지
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    • 제10권2호
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    • pp.19-28
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    • 2014
  • Wind power generation of 5 MW wind turbine was predicted by using wind measurement data from HeMOSU-1 which is at south west coast of Korea. Time histories of turbulent wind was generated from 10-min mean wind speed and then they were used as input to Bladed to estimated electric power. Those estimated powers are used in both polynominal regression and neural network training. They were compared with each other for daily production and yearly production. Effect of mean wind speed and turbulence intensity were quantitatively analyzed and discussed. This technique further can be used to assess lifetime power of wind turbine.

수분사를 통한 마이크로터빈 성능향상 해석 (Analysis of Performance Enhancement of a Microturbine by Water Injection)

  • 전무성;이종준;김동섭
    • 한국유체기계학회 논문집
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    • 제12권2호
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    • pp.46-51
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    • 2009
  • Recently, microturbines have received attention as a small-scale distributed power generator. Since the exhaust gas carries all of the heat release, generating hot water is usual method of heat recovery from microturbine CHP (combined heat and power) systems. The power of microturbines decreases as ambient temperature increases. This study predicted micoturbine power boost by injecting hot water generated by heat recovery. Influence of injecting water at two different locations was examined. Water injection improves power, but efficiency depends much on the injection location. Injecting water at the compressor discharge shows a much higher efficiency than the combustor injection. However, the combustor injection may have as much available cogeneration heat as the dry operation, while the available heat in the compressor discharge injection is much smaller than the dry operation.

BESS에 의한 제주지역 풍력발전단지의 출력 안정화 (Power Stabilization of Wind Farms in Jeju Island with BESS)

  • 진경민;김동완;김일환
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 전력전자학술대회 논문집
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    • pp.134-135
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    • 2012
  • This paper analyzes the characteristics of the power system of Jeju island in 2014, which has wind farms with the support of BESSs (Battery Energy Storage Systems). In the simulation, the electrical loads are predicted based on Korea Power Exchange's data and the wind turbines are considered with new installed plans within 2014. The situation that some wind farms are forced to disconnect from the grid instantaneously is considered. The BESSs are controlled by using SOC (State of Charge) and power smoothing control algorithm. The simulation results show the effectiveness of the proposed method.

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고속도로 교통소음의 음향파워 평가 (Acoustic Power Estimation of Highway Traffic Noise)

  • 오정한;조대승;장태순;강희만;이용은;박형식;권성용;이성환
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 II
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    • pp.1273-1279
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    • 2001
  • Precise highway traffic noise simulation and reduction require the accurate data for sound power levels emitted by vehicles, varied to road surface, traffic speed, vehicle types and makers, different from countries to countries. In this study, we have elaboratively measured domestic highway traffic noise and parameters affecting noise levels at the nearside carriageway edge. From numerical simulation using the measured results for highway traffic noise, we propose not only two correction factors to enhance the accuracy of highway traffic sound power estimation using ASJ Model-1998 but also its typical power spectrum according to road surface type. The measured and predicted highway traffic noise levels using the proposed sound power shows little difference within 1 dB.

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골격성 III급 부정교합을 가진 양악 수술 환자의 술후 측모 예측을 위한 Video imaging (Power $Ceph^{\circledR}$ Ver 3.3)의 정확도에 관한 연구 (A study on the accuracy of profile change Prediction by video imaging (Power Ceph $^{\circledR}Ver$ 3.3) in Class III two jaw surgery patients)

  • 권미정;백형선;이원유
    • 대한치과교정학회지
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    • 제29권3호
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    • pp.285-301
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    • 1999
  • 악교정 수술의 계획에 있어서 수술 후 경조직의 이동에 따른 연조직 변화 양상을 보다 정확히 예측하는 것은 매우 중요하다. 최근에는 측모 두부 규격 방사선 사진과 실제 측모 사진을 병합하여 수술 후 측모 변화에 대한 가시성을 높인 여러 종류의 video imaging 프로그램들이 개발되어 널리 사용되고 있다. 그러나 이들 프로그램의 정확도를 판단하는 연구는 아직 미비한 실정이며 특히 국내에서 많이 시행되고 있는 골격성 III급 부정교합 환자의 수술 후 변화 양상에 대한 연구가 임상적인 활용에 앞서 선행되는 것이 필요하다. 이에 저자는 video imaging프로그램의 하나인 Power $Ceph^{\circledR}$ (Power Soft Co. Ver 3.3)을 이용하여 국내에서 양악수술을 시행 받은 골격성 III급 부정교합 환자 30명(남 14명, 여 16명)을 대상으로 예측도와 실제 술후의 측모를 비교하여 정확도를 평가하였으며 정확도에 영향을 미치는 요인을 분석하기 위해 이동량 및 술식별로 분류 비교하여 다음과 같은 결론을 얻었다. 1. 예측치와 실제 계측치의 비교에서 24개의 계측항목 중 14개 항목에서 유의성 있는 차이를 보였다. 2. 계측항목 중 유의성 있는 차이를 보이는 항목은 대부분 상악에 관련된 연조직으로 하악에 관련된 연조직에 비해 다양한 차이를 나타내었다. 3.상악 및 하악의 이동량에 따른 비교에서 이동량이 적은 군이 이동량이 많은 군에 비하여 예측치와 실제 계측치 비교에서 유의성 있는 차이를 보인 항목이 적게 나타났다. 4. 이부 성형술 여부에 따른 비교에서 이부 성형술을 시행하지 않은 군에서 이부 성형술을 시행한 군에 비하여 예측치와 실제 계측치 비교에서 유의성 있는 차이를 보인 항목이 적게 나타났다. Video imaging(Power $Ceph^{\circledR}$ Ver 3.3)프로그램에 의한 예측치와 실제 계측치 비교시 그 차이는 대부분 2mm 이내로써 임상적으로 수용할 수 있는 수준이었다.

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도시화율 및 산업 구성 차이에 따른 딥러닝 기반 전력 수요 변동 예측 및 전력망 운영 (Deep Learning Based Electricity Demand Prediction and Power Grid Operation according to Urbanization Rate and Industrial Differences)

  • 김가영;이상훈
    • 한국수소및신에너지학회논문집
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    • 제33권5호
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    • pp.591-597
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    • 2022
  • Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climate. This study analyzed the power demand of New Jersey in US, with a high urbanization rate and a large service industry, and West Virginia in US, a low urbanization rate and a large coal, energy, and chemical industries. Using recurrent neural network algorithm, the power demand from January 2020 to August 2022 was learned, and the daily and weekly power demand was predicted. In addition, the power grid operation based on the power demand forecast was discussed. Unlike previous studies that have focused on the deep learning algorithm itself, this study analyzes the regional power demand characteristics and deep learning algorithm application, and power grid operation strategy.