• 조명전기설비학회논문지
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• 제30권2호
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• pp.85-92
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• 2016

The paper presents a method to assess system voltage sag performance considering sag durations as well as magnitudes. In general, voltage sag assessment for large power systems is performed only considering sag magnitudes at sensitive load points. However some equipment can be affected by certain sag durations. The duration of the voltage sag is depend on the time of fault current flow in the system. Therefore, the duration can be determined by analyzing the operating characteristic of the protection system. In this paper, an effective method to evaluate sag durations regarding the characteristics and failure rates of the protection system is described. The proposed method can be used to assess the long-term performance of the voltage sags in large power system.

• 대한전기학회논문지:전력기술부문A
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• 제51권12호
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• pp.638-646
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• 2002

This paper presents an efficient algorithm for evaluating the Profit and revenue of generating units in a competitive electricity market based on the probabilistic production costing technique. The accurate evaluation of the profit and revenue of generating units for long-term perspectives is one of the most important issues in a competitive electricity market environment. For efficient calculation of the profit and revenue of generating units under the equivalent load duration curve(ELDC), a new approach to figure out the marginal plants and the corresponding market clearing prices during a time period in a probabilistic manner is developed. The mathematical formulation and illustrative application of the suggested method is presented.

• 한국지리정보학회지
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• 제23권3호
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• pp.174-191
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• 2020

본 연구에서는 대청호 상류에 있는 서화천 유역에서 부하지속곡선을 통한 소유역별 비점오염원 취약지역 및 관리 오염물질과 관리 시기를 분석하였다. 먼저 부하지속곡선을 만들기 위하여 장기 유출 모형인 SWAT를 구축하여 유량지속곡선(Flow Duration Curve)을 작성하였으며 그 결과에 목표 수질을 곱하여 부하지속곡선(Load Duration Curve)을 작성하였다. 목표 수질은 서화천 비점오염원 관리를 위해 지난 2017년 11월부터 측정한 모니터링 자료를 사용하였으며 측정자료의 60분위에 해당하는 값을 목표 수질로 설정하였다. 이때 산정된 값이 하천 생활환경 기준의 "약간좋음"(II)을 초과할 경우 목표 수질을 "약간 좋음"(II)으로 제한하였다. 비점오염원 취약지역은 목표 수질을 초과하는 초과율을 이용하여 선정하였으며 초과 되는 오염물질을 관리 물질로 판단하고 계절별 평가를 통해 관리시기를 선정하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.1913-1917
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• 2000

SMD Equipment convey an electronic parts at high speed, then assemble parts into a circuit board, and it develop a long time-duration dynamic force to be caused by moving mass. Vibration problem to be caused by SMD Equipment have an effect on micro-meter level's precision production process, directly, and dynamic stability of building. In the cause of quantitatively access about its vibration problem, input information(or data) of structure dynamic analysis need accuracy information of dynamic load. Determination of Dynamic load is various kinds of method using experimental and theory. In this paper, we got dynamic load using direct measurement method. We expect that an study on the dynamic load characteristic of SMD can be used to Equipment development of low level vibration and basis information of structure dynamic analysis.

• 전기학회논문지
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• 제61권11호
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• pp.1578-1583
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• 2012

There are 3 systems in incentive-based normal load management in Korea; day or hour-ahead, week-ahead, months-ahead. These are originally similar in their operational implementation, but differ in their pre-notification period. Therefore the incentive of these systems should be different according to prenotification period. This is the key problem in implementing these load managements. Customers participating in these load managements feel their economic differences, depending on the risk by prenotification dates. The shorter prenotification period, the more risk take the customers. This paper proposes the method of incentive variation in prenotification difference, by using the theory of financial yield curve, which is used in analysing short and long duration bond interesting rates and is reflecting risk premium in their period.

• 대한교통학회지
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• 제20권3호
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• pp.17-30
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• 2002

반복정체와 함께 돌발상황은 고속도로 교통혼잡의 주요 원인이 되고 있다. 발생된 돌발상황에 대해 즉각 정보를 제공하고 신속히 교통류를 관리하는 정도는 그 교통류관리시스템의 수준을 의미하는 것으로, 돌발상황에 의해 차로가 차단될 시간을 속히 예측하는 것은 돌발상황관리에서 매우 기본적인 사항이라 하지 않을 수 없다. 돌발상황에 따라 교통류관리대책을 수립·실시하고 교통정보를 제공하자면 돌발상황으로 인한 교통영향(지체와 대기행렬 길이)을 먼저 산정해 보아야 하며 그러기 위해서는 지속시간의 예측이 반드시 필요하다. 통상 돌발 상황의 지속시간은 그 유형 및 심각도에 따라 다양해지며 교통, 도로, 환경 등과 같은 복합적인 조건에 영향을 받는다. 따라서 돌발상황 지속시간 예측모형에 사용되는 독립변수는 돌발상황 확인시점에서 수집 가능한 변수이어야 하며 모형의 현장적용을 위해서는 해당도로의 교통관제시스템의 수준과 함께 정보원(CCTV, 순찰반 등)의 특성을 고려하여야 한다. 본 연구는 고속도로 돌발상황 지속시간 예측모형 개발을 목표로 하며, 한국도로공사 수원지사의 교통사고발생 속보 21개월 분의 자료를 정리하여 본선에서 발생한 각종 돌발상황 168건을 사용자료로 추려냈다. 이를 DB화하여 통계분석을 수행하였으며 고속도로에서의 돌발상황 지속시간 예측을 위한 다중선형회귀모형을 구축하였다. 그리고 모델링에 사용되지 않은 자료를 이용해 개발모형의 정확성 평가를 수행하였다.

• Structural Engineering and Mechanics
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• 제20권6호
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• pp.673-693
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• 2005

A general step-by-step simulation for the time-dependent analysis of segmentally-erected prestressed concrete box-girder bridges is presented. A three dimensional finite-element model for the balanced-cantilever construction of segmental bridges, including effects of the load history, material nonlinearity, creep, shrinkage, and aging of concrete and the relaxation of prestressing steel was developed using ABAQUS software. The models included three-dimensional shell elements to model the box-girder walls and Rebar elements representing the prestressing tendons. The step-by-step procedure allows simulating the construction stages, effects of time-dependent deformations of materials and changes in the structural system of the bridges. The structural responses during construction and throughout the service life were traced. A comparison of the developed computer simulation with available experimental results was conducted and good agreement was found. Deflection of the bridge deck, changes in stresses and strains and the redistribution of internal forces were calculated for different examples of bridges, built by the balanced-cantilever method, over thirty-year duration. Significant time-dependent effects on the bridge deflections and redistribution of internal forces and stresses were observed. The ultimate load carrying capacities of the bridges and the behavior before collapse were also determined. It was observed that the ultimate load carrying capacity of such bridges decreases with time as a result of time-dependent effects.

• 환경영향평가
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• 제28권1호
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• pp.35-48
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• 2019

장기간 유량측정과 수질분석은 수질오염총량관리제도 유역의 목표수질과 허용 부하량을 결정하기 위하여 필요하다. 목표수질 달성여부를 평가하는데 사용되는 부하지속곡선은 유량과 수질간의 관계를 설명하고, 유량조건별 오염부하량 특성을 평가한다. 경안천의 부하지속곡선은 경안천 목표수질과 2006년부터 2015년까지 연평균 8일 간격으로 측정한 유량자료를 이용한 유량지속곡선에 의해서 작성되었다. 연구결과 경안천은 갈수량 구간에서 목표수질을 초과하여 점오염원에 대한 관리가 필요한 것으로 분석되었다. 또한, 연중 3월에서 6월 사이의 기간 동안에만 목표수질을 초과하는 것으로 나타나 이 기간 동안 경안천의 목표수질을 달성하기 위한 체계적인 유역 관리가 필요한 것으로 판단된다.

• Structural Engineering and Mechanics
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• 제75권3호
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• pp.377-387
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• 2020

Modern long-span floor system typically possesses low damping and low natural frequency, presenting a potential vibration sensitivity problem induced by human activities. Field test and numerical analysis methods are available to study this kind of problems, but would be inconvenient for design engineers. This paper proposes a simplified method to determine the acceleration amplitudes of long-span floor system subjected to walking or running load, which can be carried out manually. To theoretically analyze the acceleration response, the floor system is simplified as an anisotropic rectangular plate and the mode decomposition method is used. To facilitate the calculation of acceleration amplitude a_P, a coefficient α_wmn or α_Rmn is introduced, with the former depending on the geometry and support condition of floor system and the latter on the contact duration t_R and natural frequency. The proposed simplified method is easy for practical use and gives safe structural designs.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2008년도 한국컴퓨터종합학술대회논문집 Vol.35 No.1 (C)
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• pp.26-30
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• 2008

Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in long duration load profiles. The proposed our approach consists of three stages: (i) data pre-processing: noise or outlier is removed and the continuous attribute-valued features are transformed to discrete values, (ii) cluster analysis: k-means clustering is used to create load pattern classes and the representative load profiles for each class and (iii) classification: we evaluated several supervised learning methods in order to select a suitable prediction method. According to the proposed methodology, power load measured from AMR (automatic meter reading) system, as well as customer indexes, were used as inputs for clustering. The output of clustering was the classification of representative load profiles (or classes). In order to evaluate the result of forecasting load patterns, the several classification methods were applied on a set of high voltage customers of the Korea power system and derived class labels from clustering and other features are used as input to produce classifiers. Lastly, the result of our experiments was presented.