• Title/Summary/Keyword: Peak load

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Mater-Slave Type Two DC-DC Converters Paralldl Operation Using a Single Current Sensor (단일 전류센서를 사용한 마스터-슬레이브 전류 분배형 2개의 DC-DC 컨버터 병렬운전)

  • 손승찬;박상은;정민재;성세진
    • The Transactions of the Korean Institute of Power Electronics
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    • v.5 no.2
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    • pp.184-191
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    • 2000
  • We discussed load CUlTent sharing for Master/Slave convertedMSC) type two DC-DC Converters parallel operation using a single current sensor method. In the conventional method, two CTs have been used to share t the load CUlTent equally with two coηverters‘ This paper presents a novel load CUlTent distribution method u using a single CUlTent sensor that can share load CUlTent effectively with only one CT in the Master-Slave C conveη:ers(MSCs) type. To confirm parallel operational performance of proposed DC-DC converters parallel operation, two experimental prototype converters were designed, implemented and experimented under three a arbitrary conditions. A load cur‘rent shahring perforrnance of the proposed method was compared with that of a c conventional peak CUt${\gamma}$ent method requmng two CTs. Those experimental results show that load cUlTent s sharing performance of paralleled two converters using a single CUlTent sensor was good and operated as well a as conventional method (ex, Pe밟 CUlTent Method)

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Test and Analysis of Voltage Drop according to Load Capacity in Traction Power Supply System (전기철도 일형식 부하 크기에 따른 전압강하 측정 및 분석)

  • Kim, Joo-Rak;Jang, Dong-Uk;Chang, Sang-Hoon;Lee, Young-Heum
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.940-947
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    • 2011
  • Load capacity varies according to a day of the week in traction power supply system, because time schedule in railway is changed as demand for passengers and freights. Therefore, Voltage drop also varies as load capacity. In Korea railway, Voltage collected from catenary in train is decreased, as load supplied traction power supply system is increased. Therefore, investigation about voltage drop should be performed, before development of countermeasure against voltage drop. The investigation can be performed by simulation or field test. Naturally, field test is more precise than simulation. In addition, field test should be carried out at peak load. This paper presents test and analysis about voltage drop in railway. The test is performed in both a day of the week and weekend. The analysis is figured out comparison load capacity between two days and voltage drop across terminal.

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Analysis of Electrical Loads in the Urban Railway Station by Big Data Analysis (빅데이터분석을 통한 도시철도 역사부하 패턴 분석)

  • Park, Jong-young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.3
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    • pp.460-466
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    • 2018
  • For the efficient energy consumption in an urban railway station, it is necessary to know the patterns of electrical loads for each usage in detail. The electrical loads in an urban railway station have different characteristics from other normal electrical load, such as the peak load timing during a day. The lighting, HVAC, communication, and commercial loads make up large amount of electrical load for equipment in an urban railway station, and each of them has the unique specificity. These loads for each usage were estimated without measuring device by the polynomial regression method with big data such as total amount of electrical load and weather data. In the simulation with real data, the optimal polynomial regression model was third order polynomial regression model with 9 or 10 independent variables.

Short-term Peak Load Forecasting using Regression Models and Neural Networks (회귀모형과 신경회로망 모형을 이용한 단기 최대전력수요예측)

  • Koh, Hee-Seog;Ji, Bong-Ho;Lee, Hyun-Moo;Lee, Chung-Sik;Lee, Chul-Woo
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.295-297
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    • 2000
  • In case of power demand forecasting the most important problem is to deal with the load of special-days, Accordingly, this paper presents a method that forecasting special-days load with regression models and neural networks. Special-days load in summer season was forecasted by the multiple regression models using weekday change ratio Neural networks models uses pattern conversion ratio, and orthogonal polynomial models was directly forecasted using past special-days load data. forecasting result obtains % forecast error of about $1{\sim}2[%]$. Therefore, it is possible to forecast long and short special-days load.

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A Configuration of DLC(Direct Load Control) Using TCP/Ethernet Module And Load Control Method ( I ) (TCP/Ethernet방식을 이용한 DLC(Direct Load Control)의 구성 및 부하제어기법 ( I ))

  • Kim, Hyong-Joong;Kim, In-Soo;Park, Kyu-Hyu;Cha, Yang-Hwan
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.570-572
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    • 2000
  • In this paper, we present the configuration of Direct Load Control System using TCP/Ethernet Module for the Load Management Europe and America has operated the DLC system by many communication system, and Taiwan, Japan has controlled the cooling load at peak hours of power system. Up to now, Many Researches for the DLC of communication method, so called, pager, power line carrier, ripple control, etc. has advanced. Now, we present new communication method for the DLC using TCP/Ethernet module which is widespread all over the world.

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Power Supply Considering load Characteristics and Eletricity Usage Pattern of Domestic Remote Islands (계통비연계 도서지역의 수요특성과 패턴분석에 따른 전력보급방안)

  • Jo, I.S.;Rhee, C.H.
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.432-434
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    • 2002
  • Recently, electricity demand of remote islands in Korea has been rapidly increased. It's mainly due to increase of income level resulted from economic development. Electricity demand patterns and characteristics in remote islands are different from those of mainland in point of time of peak load, demographic and industrial characteristics of islands, and so on. The optimal power supply in remote islands has a important relationship with accurate analysis of island's load characteristics, the adoption of relevant load forecasting technique, and optimal power facilities reflecting local's electricity demand characteristics. This paper shows the recent load pattern and characteristics, load forecasting using probability distribution, and the perpetration of relevant power facilities in remote islands.

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A District Cooling System using Ice Slurry for the Uncertain Cooling Load of the Future (미래의 불확실한 냉방부하에 대한 아이스슬러리를 이용한 지역냉방시스템)

  • Lee, Yoon-Pyo;Ahn, Young-Hwan;Yoon, Seok-Mann
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.233-238
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    • 2006
  • A new district cooling system using ice slurry for the uncertain cooling load of the future is presented. The chilled water produced by the absorption chillers is used for the base cooling load. The temperature of the chilled water is reduced by mixing of ice slurry depending on increasing of the cooling load. Finally, IPF of the ice slurry is increased up to 10% at the peak load. The transporting mass flow rate is decreased down to 44.7%, and the diameter of the main pipe is decreased down to 66.7%, but the diameter of the branched pipe is designed as the same size of the chilled water.

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Study on the Performance Testing of the Closed Ice Thermal Energy Storage System using Screw Capsules (스크류 캡슐형 밀폐식 빙축열시스템의 성능시험에 관한 연구)

  • Kim, Kyung-Hwan
    • Journal of the Korean Solar Energy Society
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    • v.26 no.4
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    • pp.39-45
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    • 2006
  • The decrease in the summer peak electric load in our country is very important. The government has arranged and implemented a lot of support policies and statutes to decrease the peak electric load. And the ice thermal energy storage system is known as one of the alternatives. The purpose of this paper is to evaluate the efficiency and thermal characteristics of the closed ice thermal energy storage system using screw capsules. The measured thermal energy storage density is about 18.4 USRT-h/m3 (=232.9 MJ/m3), which is higher than 13.0 USRT-h/m3 (=164.6 MJ/m3), a low criterion of normal performance. And The efficiency of the discharging process and the total energy utilization is 96.2% and 2028.4 kcal/kWh respectively.

Bargaining-Based Smart Grid Pricing Model for Demand Side Management Scheduling

  • Park, Youngjae;Kim, Sungwook
    • ETRI Journal
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    • v.37 no.1
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    • pp.197-202
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    • 2015
  • A smart grid is a modernized electrical grid that uses information about the behaviors of suppliers and consumers in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the operation of a smart grid, demand side management (DSM) plays an important role in allowing customers to make informed decisions regarding their energy consumption. In addition, it helps energy providers reduce peak load demand and reshapes the load profile. In this paper, we propose a new DSM scheduling scheme that makes use of the day-ahead pricing strategy. Based on the Rubinstein-Stahl bargaining model, our pricing strategy allows consumers to make informed decisions regarding their power consumption, while reducing the peak-to-average ratio. With a simulation study, it is demonstrated that the proposed scheme can increase the sustainability of a smart grid and reduce overall operational costs.

The Solar Atmospheric Transmittance Data for Peak Cooling Load Calculation using ETD Method (실효온도차법에 의한 최대열부하계산용 일사 대기투과율)

  • Kim, D.C.;Seo, J.S.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.4 no.4
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    • pp.316-322
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    • 1992
  • A simplified TAC method was developed for the selection of solar atmospheric transmittance data fundamental to the calculation of design solar radiation for the peak cooling load calculation using ETD method. The summer and autumn solar atmospheric transmittance data of the 11 major cities in Korea were obtained. Based on the simplified TAC method, the atmospheric transmittance data were selected by the TAC 2.5% of July instead of the TAC 2.5% of June through September for summer and the TAC 5.0% of October instead of the TAC 2.5% of October and November for autumn. Results show that the atmospheric transmittance data at solar noon were in the range of 0.61-0.66 for summer and 0.78-0.82 for autumn except for Pusan and Incheon.

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