• Title, Summary, Keyword: Load Profile

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Typical Daily Load Profile Generation using Load Profile of Automatic Meter Reading Customer (자동검침 고객의 부하패턴을 이용한 일일 대표 부하패턴 생성)

  • Kim, Young-Il;Shin, Jin-Ho;Yi, Bong-Jae;Yang, Il-Kwon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.9
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    • pp.1516-1521
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    • 2008
  • Recently, distribution load analysis using AMR (Automatic Meter Reading) data is researched in electric utilities. Load analysis method based on AMR system generates the typical load profile using load data of AMR customers, estimates the load profile of non-AMR customers, and analyzes the peak load and load profile of the distribution circuits and sectors per every 15 minutes/hour/day/week/month. Typical load profile is generated by the algorithm calculating the average amount of power consumption of each groups having similar load patterns. Traditional customer clustering mechanism uses only contract type code as a key. This mechanism has low accuracy because many customers having same contract code have different load patterns. In this research, We propose a customer clustring mechanism using k-means algorithm with contract type code and AMR data.

Prediction of Electrical Load Profile for Use in Simulating the Performance of Residential Distributed Generation Systems (가정용 분산전원시스템의 성능 모사를 위한 전력부하 프로파일 예측)

  • Lee, Sang-Bong;Cho, Woo-Jin;Lee, Kwan-Soo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.23 no.4
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    • pp.265-272
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    • 2011
  • The electrical load profiles of end-users must be analysed properly to introduce distributed generation system efficiently. In this study, numerical simulation for predicting a residential electrical load profile was developed to satisfy categorized electricity consumption range. We applied bottom-up approach to compose electrical load profile by using data from official reports and statistics. The electrical load profile produced from the simulation predicted peak times of public report accurately and agreed well with the standard residential electrical load profile of official reports within average error of 16.2%.

Analysis on the Effect of Thermal Performance with Various Load Patterns for Solar Hot Water Heating System

  • Kim, Byoung-Gi;Jang, Hwan-Young;Chung, Kyung-Taek;Suh, Jeong-Se
    • International Journal of Air-Conditioning and Refrigeration
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    • v.15 no.3
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    • pp.108-113
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    • 2007
  • The performance of a solar water heater incorporating evacuated tubes was evaluated using a transient simulation program, TRNSYS. Simulations were performed for $60^{\circ}C$ of hot water load temperature and for 280 liter of daily hot water volumes and three 400 liter of storage tank volumes. Three patterns of daily hot water consumption profile were used in the present study (morning, lunch and evening). The results show that the increase in solar fraction depends on the load profile, as well as the collector efficiency coefficient. Hot water draw profile has a large effect on the performance of the SDHWS, the morning load profile has the highest solar fraction. The annual solar fraction of the system, at the weather conditions of Jinju is approximately 84% at lunch load pattern, the 280 kg of load volume, 400 kg of tank volume and the $60^{\circ}C$ of load temperature.

Customer Classification Method Using Customer Attribute Information to Generate the Virtual Load Profile of non-Automatic Meter Reading Customer (미검침 고객의 가상 부하패턴 생성을 위한 고객 속성 정보를 이용한 고객 분류 기법)

  • Kim, Young-Il;Ko, Jong-Min;Song, Jae-Ju;Choi, Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.10
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    • pp.1712-1717
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    • 2010
  • To analyze the load of distribution line, real LPs (Load Profile) of AMR (Automatic Meter Reading) customers and VLPs (Virtual Load Profile) of non-AMR customers are required. Accuracy of VLP is an important factor to improve the analysis performance. There are 2 kinds of methods to generate the VLP; one is using ALP (Average Load Profile) per each industrial code and PNN (Probability neural networks) algorithm; the other is using LSI (Load Shape Index) and C5.0 algorithm. In this paper, existing researches are studied, and new method is suggested. Each methods are compared the performance with same LP data of real high voltage customers.

Fluid flow profile in the "orthotropic plate+compressible viscous fluid+rigid wall" system under the action of the moving load on the plate

  • Akbarov, Surkay D.;Huseynova, Tarana V.
    • Coupled systems mechanics
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    • v.9 no.3
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    • pp.289-309
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    • 2020
  • The paper studies the fluid flow profile contained between the orthotropic plate and rigid wall under the action of the moving load on the plate and main attention is focused on the fluid velocity profile in the load moving direction. It is assumed that the plate material is orthotropic one and the fluid is viscous and barotropic compressible. The plane-strain state in the plate and the plane flow of the fluid is considered. The motion of the plate is described by utilizing the exact equations of elastodynamics for anisotropic bodies, however, the flow of the fluid by utilizing the linearized Navier-Stokes equations. For the solution of the corresponding boundary value problem, the moving coordinate system associated with the moving load is introduced, after which the exponential Fourier transformation is employed with respect to the coordinate which indicates the distance of the material points from the moving load. The exact analytical expressions for the Fourier transforms of the sought values are obtained, the originals of which are determined numerically. Presented numerical results and their analyses are focused on the question of how the moving load acting on the face plane of the plate which is not in the contact with the fluid can cause the fluid flow and what type profile has this flow along the thickness direction of the strip filled by the fluid and, finally, how this profile changes ahead and behind with the distance of the moving load.

A Study on Beach Profile Change in the Consideration of Undertow (Undertow를 고려한 해빈단면지형 변화에 관한 연구)

  • 손창배;김창제
    • Journal of Korean Port Research
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    • v.13 no.1
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    • pp.147-154
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    • 1999
  • A Numerical model is developed in order to predict cross-shore beach profile change. In this model it is assumed that sediment transport is generated by waves(bed load transport suspended load transport) and undertow which is defined as offshore directional steady flow in the surf zone. In addition wave tank experiments which reproduce storm-surge were performed. By comparing resulting profile of calculation with experiments, the applicability of this method is verified.

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Development of Load Profile Monitoring System Based on Cloud Computing in Automotive (클라우드 컴퓨팅 기반의 자동차 부하정보 모니터링 시스템 개발)

  • Cho, Hwee;Kim, Ki-Tae;Jang, Yun-Hee;Kim, Seung-Hwan;Kim, Jun-Su;Park, Keoun-Young;Jang, Joong-Soon;Kim, Jong-Man
    • Journal of the Korean Society for Quality Management
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    • v.43 no.4
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    • pp.573-588
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    • 2015
  • Purpose: For improving result of estimated remaining useful life in Prognostics and Health Management (PHM), a system which is able to consider a lot of environment and load data is required. Method: A load profile monitoring system was presented based on cloud computing for gathering and processing raw data which is included environment and load data. Result: Users can access results of load profile information on the Internet. The developed system provides information which consists of distribution of load data, basic statistics, etc. Conclusion: We developed the load profile monitoring system for considering much environment and load data. This system has advantages such as improving accessibility through smart device, reducing cost, and covering various conditions.

Repeated Clustering to Improve the Discrimination of Typical Daily Load Profile

  • Kim, Young-Il;Ko, Jong-Min;Song, Jae-Ju;Choi, Hoon
    • Journal of Electrical Engineering and Technology
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    • v.7 no.3
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    • pp.281-287
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    • 2012
  • The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeated clustering groups the cluster into sub-clusters with the k-means algorithm and chooses the sub-cluster that has the maximum average error and repeats clustering until the final cluster count is satisfied.

Numerical wind load estimation of offshore floating structures through sustainable maritime atmospheric boundary layer

  • Yeon, Seong Mo;Kim, Joo-Sung;Kim, Hyun Joe
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.12 no.1
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    • pp.819-831
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    • 2020
  • Wind load is one of the major design loads for the hull and mooring of offshore floating structures, especially due to much larger windage area above water than under water. By virtue of extreme design philosophy, fully turbulent flow assumption can be justified and the hydrodynamic characteristics of the flow remain almost constant which implies the wind load is less sensitive to the Reynolds number around the design wind speed than wind profile. In the perspective of meteorology, wind profile used for wind load estimation is a part of Atmospheric Boundary Layer (ABL), especially maritime ABL (MBL) and have been studied how to implement the profile without losing turbulence properties numerically by several researchers. In this study, the MBL is implemented using an open source CFD toolkit, OpenFOAM and extended to unstable ABL as well as neutral ABL referred to as NPD profile. The homogeneity of the wind profile along wind direction is examined, especially with NPD profile. The NPD profile was applied to a semi-submersible rig and estimated wind load was compared with the results from wind tunnel test.

Impact of Electric Vehicle Penetration-Based Charging Demand on Load Profile

  • Park, Woo-Jae;Song, Kyung-Bin;Park, Jung-Wook
    • Journal of Electrical Engineering and Technology
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    • v.8 no.2
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    • pp.244-251
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    • 2013
  • This paper presents a study the change of the load profile on the power system by the charging impact of electric vehicles (EVs) in 2020. The impact of charging EVs on the load demand is determined not only by the number of EVs in usage pattern, but also by the number of EVs being charged at once. The charging load is determined on an hourly basis using the number of the EVs based on different scenarios considering battery size, model, the use of vehicles, charging at home or work, and the method of charging, which is either fast or slow. Focusing on the impact of future load profile in Korea with EVs reaching up 10 and 20 percentage, increased power demand by EVs charging is analyzed. Also, this paper analyzes the impact of a time-of-use (TOU) tariff system on the charging of EVs in Korea. The results demonstrate how the penetration of EVs increases the load profile and decreases charging demand by TOU tariff system on the future power system.