• Title/Summary/Keyword: Peak load

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Study for Power Management System using Regenerative Energy in Electric Railway Systems (회생에너지를 이용한 도시철도 전력관리시스템 구축에 관한 연구)

  • Lee, Hansang;Cho, Yoonsung;Kim, Hyungchul;Jung, Hosung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.1
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    • pp.191-196
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    • 2014
  • For the large scale of electricity consumer, since the price for the electricity consumption depends on the peak power, the issue for peak power reduction have been being studied widely. Electric railway systems, which is one of the most representative large scale of loads, also has assignment to reduce the peak power since they have high peak power and low energy consumption load characteristics. In the aspect of the economic operation through reduction of peak power, this paper proposes a novel algorithm for power management system in electric railway systems using energy storage.

A Stochastic Pplanning Method for Semand-side Management Program based on Load Forecasting with the Volatility of Temperature (온도변동성을 고려한 전력수요예측 기반의 확률론적 수요관리량 추정 방법)

  • Wi, Young-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.6
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    • pp.852-856
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    • 2015
  • Demand side management (DSM) program has been frequently used for reducing the system peak load because it gives utilities and independent system operator (ISO) a convenient way to control and change amount of electric usage of end-use customer. Planning and operating methods are needed to efficiently manage a DSM program. This paper presents a planning method for DSM program. A planning method for DSM program should include an electric load forecasting, because this is the most important factor in determining how much to reduce electric load. In this paper, load forecasting with the temperature stochastic modeling and the sensitivity to temperature of the electric load is used for improving load forecasting accuracy. The proposed planning method can also estimate the required day, hour and total capacity of DSM program using Monte-Carlo simulation. The results of case studies are presented to show the effectiveness of the proposed planning method.

Load distribution analysis of a sprocket wheel tooth for a low head hydro-turbine power transmission system (저낙차용 수차의 동력전달 스프로켓 휠 이의 하중분포 해석)

  • 강용석;김현수;김현진
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.5
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    • pp.1087-1095
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    • 1994
  • Chain drive power transmission system was developed for a low head hydro-turbine which generates power by energy transformation on the turbine blades attached to chains. Also, experimental and theoretical analysis for the sprocket wheel tooth load distribution were performed. The tooth load was measured by the specially designed load sensor. It was found that the tooth load distribution for the steady state operation was in good accordance with the quasi-static state results showing the peak load at the final meshing tooth. The trend of the experimental results agreed with the theoretical results based on the spring model analysis and difference in the magnitude of the maximum tooth load was considered to be the effect of the variable spring constant due to the moving contact point between the roller and sprocket wheel tooth.

Direct Load Control Algorithm Based Locational and Electric Load Characteristics (지역적 특성과 부하특성을 고려한 직접부하제어 알고리즘)

  • Shin, Ho-Sung;Song, Kyung-Bin;Moon, Jong-Fil;Kim, Jae-Chul;Nam, Bong-Woo
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.264-265
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    • 2006
  • This paper presents direct load control algorithm based locational and electric load characteristics. Direct load control is defined that demand-side management program activities that can interrupt consumer load at the time of annual peak load by direct control of the utility system operator by interruption power supply to individual appliances or equipment on consumer premises. Korean power system is divided into 14-areas considering branches operating in KEPCO, and electric loads are classified into 19 load groups considering interruption costs in this paper. The purpose of proposed method is to decrease social losses by controlling electric loads mainly whose interruption costs are low. It is expected that the proposed algorithm can be used as the countermeasure for the emergency state of the electric power dispatch in a operation point of view.

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The Study on Cooling Load Forecast using Neural Networks (신경회로망을 이용한 냉방부하예측에 관한 연구)

  • 신관우;이윤섭
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.8
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    • pp.626-633
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    • 2002
  • The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. And also the method of forecasting the cooling load using neural network is suggested. For the simulation, the cooling load is calculated using actual temperature and humidity, The forecast of the temperature, humidity and cooling load are simulated. As a result of the simulation, the forecasted data is approached to the actual data.

The Study on Cooling Load Forecast of an Unit Building using Neural Networks

  • Shin, Kwan-Woo;Lee, Youn-Seop
    • International Journal of Air-Conditioning and Refrigeration
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    • v.11 no.4
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    • pp.170-177
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    • 2003
  • The electric power load during the summer peak time is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. The method of forecasting the cooling load using neural network is also suggested. The daily cooling load is mainly dependent on actual temperature and humidity of the day. The simulation is started with forecasting the temperature and humidity of the following day from the past data. The cooling load is then simulated by using the forecasted temperature and humidity data obtained from the simulation. It was observed that the forecasted data were closely approached to the actual data.

A Study on Indirect Estimating Methods for Yearly Maximum Cooling Load (연 최대 냉방부하의 간접추정 방법론에 관한 연구)

  • Yang, Moon-Hee
    • IE interfaces
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    • v.16 no.1
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    • pp.16-26
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    • 2003
  • In Korea, cooling power load, which occupies about 20% of peak load in 2000 and fluctuates depending on the popular usage of air conditioning systems, has been recently the focus of the load management. The first work of KEPCO (Korea Electric Power Corporation) to regulate cooling load as low as possible was to estimate its approximate scale and to develop the indirect methods to estimate it from the available time series data for the average hourly loads. However, KEPCO would like to have their methods improved both theoretically and practically. In this paper, we analyze their current indirect methods and detect their faults to design better indirect estimation methods. Under one of the assumptions of "no cooling load in April or May", the linear relationship between basic loads and GDP's, and the normalized seasonal factors of the Winters' multiplicative seasonal model, we provide ten indirect estimation methods in total and suggest the estimated cooling load(1988-1999) based on our various indirect methods.

Composition and Operation of Direct Load Control(DLC) System for use of Demand Side (수용가용 직접부하제어시스템의 구성 및 운영)

  • Park J.C.;Choi M.G.;Lee Y.G.;Kim S.J.;Jeong B.H.;Choe G.H.
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.1260-1262
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    • 2004
  • Direct Load Control(DLC) system is a load management program for stablization of electric power supply-demand. It is a series of acts limiting the demand of selected demand side at peak load or other time periods. Recently, power supply-demand instability due to dramatic increase in power usage such as summertime air-conditioning load has brought forecasts of decrease in power supply capability. Therefore heightening the load factor through systematic load management, in other words, Direct Load Control became necessary. By examining the composition and operation of the DLC system, this paper provides conceptional understanding of the DLC system and help in system research.

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A Survey on the Actual Load Curve of Lighting Apparatus (조명기구 부하곡선 실태조사)

  • 곽희로;이진우
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.9 no.5
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    • pp.37-40
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    • 1995
  • In this paper, we investigate the daily load curve and yearly lighting hours of general and industrial Korean lighting apparatus. The daily load curve of lighting apparatus shows the peak use at 8 p.m. in general and 10 a.m. in industrial building. The yearly lighting hours are 2,948 hours in general and 4,066 hors in industrial building.

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Finite Element Analysis of Cracted Structural Steel Member (균열을 가진 강구조부재의 한계하중에 대한 유한요소해석)

  • 박용걸
    • Computational Structural Engineering
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    • v.8 no.1
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    • pp.123-126
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    • 1995
  • The purpose of the analysis is the numerical simulation of structures strained to the limit loads. The finite element calculations and experiments with cracked structures have been carried out yielding over limit strains between 10% and 15% by single peak load. Load versus displacement-diagrams and J-diagrams up to the limit load are calculated. By this way the influence of geometric parameters may be assessed in the post yield region. It is proposed to use such calculations to correlate experiments carried out with small specimens to experiments simulating the true dimensions of the design structure.

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