• Title/Summary/Keyword: Power demand

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Analysis of Power Pattern According to Load Types (부하 형태에 따른 전력패턴 분석)

  • Mi-Yong Hwang;Seung-Joon Cho;Soon-Hyung Lee;Yong-Sung Choi
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.4
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    • pp.369-375
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    • 2023
  • In this paper, we compared and analyzed the power load patterns of dormitory buildings and office buildings to use them as basic data (demand analysis and capacity design) for the design and operation of microgrids for multi-use facilities, and the following conclusions were got. During the daytime on regular weekdays, the power consumption load pattern of office buildings was relatively large at 264.0~332.3 kWh, and during the evening hours, the power consumption load pattern of dormitory buildings was relatively large at 233.0~258.3 kWh. In the case of vacation, during the daytime on weekdays, the power consumption load pattern of office buildings was relatively large at 279.1~407.4 kWh, and in the evening, the power consumption load pattern of dormitory buildings was relatively high at 280.1~394.1 kWh. During the daytime on regular weekends, the power consumption of dormitory-type buildings was relatively high at 133.5~201.6 kWh, and it was found that the power consumption of dormitory-type buildings appeared relatively high at 187.5~252.1 kWh. During a vacation in the daytime on weekends, the power consumption of dormitory-type buildings was found to be 186.5 kWh~ and 218.6 kWh. The increase in power consumption during a vacation (December-February) compared to normal (April-June) was thought to be due to an increase in electricity demand, and the reason for the higher power consumption in dormitory buildings during the vacation was due to reduced working hours in office buildings.

Analysis on Demand Response Aggregator in Electricity Market (수요관리사업자가 수요반응 전력시장에 미치는 영향 분석)

  • Lee, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.8
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    • pp.1181-1186
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    • 2017
  • The purpose of Demand Response is to reduce the cost of excessive resources and equipment by spontaneous load reductions at peak loads. Having enough power consumers participating in these schemes is key to achieving the goal. Demand Response Aggregator (DRA) is responsible for recruiting demand resources and managing them to participate in reducing the load. DRAs change the price elasticity of demand functions by providing incentives to demand response, thereby affecting price formation in the electricity market. In this paper, this process is modeled to analyze the relationship between DRA's strategic bidding and market outcomes and load reductions. It analyzes the results by applying to competition between DRAs, competition between DR and Gencos, and coexistence of DR load and non-DR load. It is noteworthy that we have found a phenomenon called the Balloon Effect.

Regional Electricity Demand Forecasting for System Planning (계통계획을 위한 지역별 전력수요예측)

  • Jo, I.S.;Rhee, C.H.;Park, J.J.
    • Proceedings of the KIEE Conference
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    • 1998.11a
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    • pp.292-294
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    • 1998
  • It is very important for electric utility to expand generating facilities and transmission equipments in accordance with the increase of electricity demand. Regional electricity demand forecasting is among the most important step for long-term investment and power supply planning. The main objectives of this paper are to develop the methodologies for forecasting regional load demand. The Model consists of four models, regional economy, regional electricity energy demand, areal electricity energy demand. and areal peak load demand. This paper mainly suggests regional electricity energy demand model and areal peak load demand. A case study is also presented.

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Design For System Algorithm for Implement Machine Socialization Environment (DDNS 기반 가정 에너지 관리 시스템 설계)

  • Lee, Chun-Hui;Kim, Wung-Jun;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.629-631
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    • 2015
  • Recently, the actual demand for electricity usage to out of demand forecasting demand appears to be based on the power of Government to address the insecurity is there are a lot of efforts on a more efficient energy management. In 2011, the first major outage, blackout since the current rate of no more than 10% of our power plants, such as power supply and demand crisis is being repeated. In addition, energy management systems, the demand for care and social areas are being expanded. In this paper, Building power supply and wired/wireless router and to optimize the DDNS (Dynamic Domain Name Service) for remote control and monitoring device for electric consumption Presonal Energy Management System offers a way to implement it. In the future, remote control and access the user's can minimize the settings for additional research is needed.

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The Analysis of Effect in Order to Consider Combined Heat and Power Capacity in the Basic Plan of Long Term Electricity Supply & Demand (전력수급기본계획에 열병합발전 설비 반영시의 효과분석에 관한 연구)

  • Kim, Yong-Ba;Moon, Jung-Ho;Yeon, Jun-Hee;Jung, Hyun-Sung;Woo, Sung-Min;Kim, Mi-Ye
    • Journal of Energy Engineering
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    • v.16 no.1 s.49
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    • pp.22-31
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    • 2007
  • This paper addresses methodology in order to consider CHP (Combined Heat and Power) capacity in the Basic Plan of Long Term Electricity Supply & Demand and presents effects on it. The method performs state in extent that do not change maximum in the Basic Plan of Long Term Electricity Supply & Demand. For analysis that occurs some advantage this method compares with Basic Plan of Long Term Electricity Supply & Demand. It includes EES (Expected Energy Served), Fuel consumption, amount of $CO_{2}$ emission reduction.

Power Demand Estimation of Consuming Facility using Orthogonal Polynomial Regression Model (직교 다항 회귀모델을 이용한 수용설비의 소비전력 추정)

  • 고희석;이충식;지봉호;김일중
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.4
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    • pp.75-81
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    • 1999
  • This paper presents in the rrethod power demand estimated of consuming facility algorithm using orthogonal polynomial regression rmdel. Estimation rmdel presented can use mathematical rrethod consists. of extrapolation and correlation rrethod, Computation tirre and capacity of presented rmdel was rmre economic than multiple regression rrodel because low-order equation can use in the high-order equation without sorre correction, and vice-versa. Therefore this rmthed can be very usefulness rmthed in the power demand estimation Fourth-order rrodel was very good armng this rrodel that was coJTJp)Sed the estimation rmdel of second, third and fourth-order. Power demand estimated result of consuming facility using correlation rrethod was good in the percentage error of about 2[%1 Also It was to verify efficiency and awroPJiation the estimated rmdel that estimation percentage error was about 1[%] in the oower demand estimated result of 1997.

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An Improvement Scheme of Direct Load Control Program for Electric Power Demand Management (합리적 전력수요관리를 위한 직접부하제어 사업의 개선 방안)

  • Kim, Kyu-Ho;Choi, Seung-Kil;Song, Kyung-Bin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.8
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    • pp.81-86
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    • 2007
  • This paper proposes the scheme to improve the current direct load control(DLC) program by inspecting the problems of the DLC program. In order to increase the number of the customers participating DLC program, a reduction of the base incentive and an increase of the direct load control incentive are suggested based on the interruption cost of electric power considering the characteristics of load types and the introduction of demand side bidding is recommended. Secondly, the standards of power system operations is required to control DLC program efficiently for the penalty, interruption times, the number of interrupting loads, notice time for the load interruption and the periods of the DLC program contract.

Comparison of time series predictions for maximum electric power demand (최대 전력수요 예측을 위한 시계열모형 비교)

  • Kwon, Sukhui;Kim, Jaehoon;Sohn, SeokMan;Lee, SungDuck
    • The Korean Journal of Applied Statistics
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    • v.34 no.4
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    • pp.623-632
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    • 2021
  • Through this study, we studied how to consider environment variables (such as temperatures, weekend, holiday) closely related to electricity demand, and how to consider the characteristics of Korea electricity demand. In order to conduct this study, Smoothing method, Seasonal ARIMA model and regression model with AR-GARCH errors are compared with mean absolute error criteria. The performance comparison results of the model showed that the predictive method using AR-GARCH error regression model with environment variables had the best predictive power.

hydraulic-power generation of electricity plan of multi-Purpose dam in electric Power system (전력계통에서의 다목적댐 수력발전계획)

  • Kim, Seung-Hyo;Ko, Young-Hoan;Hwang, In-Kwang
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1248-1252
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    • 1999
  • To provide electricity power of good quality, it is essential to establish generation of electricity plan in electric power system based on accurate power-demand prediction and cope with changes of power-need fluctuating constantly. The role of hydraulic-power generation of electricity in electric power system is of importance because responding to electric power-demand counts or reservoir-type hydraulic-power generation of electricity which is designed for additional load in electric power system. So hydraulic-power generation of electricity must have fast start reserve. But the amount of water, resources of reservoir-type hydraulic-power generation of electricity is restricted and multi-used, so the scheduling of management by exact forecasting the amount of water is critical. That is why efficient hydraulic-power generation of electricity makes a main role on pumping up the utility of energy and water resource. This thesis introduced the example of optimal generation of electricity plan establishment which is used in managing reservoir-type hydraulic-power generation of electricity.

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The Effect of HVDC#3 on Jeju Power System (제주 HVDC#3 영향 분석)

  • Park, Jung-Soo;Jung, Hong-Ju;Han, Young-Seong;Kim, Rae-Young;Chung, Chung-Choo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.12
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    • pp.2196-2201
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    • 2011
  • According to the 5th national plan for electric power demand and supply, the 3rd HVDC link will be installed between KEPCO and Jeju Island system and go into operation in June, 2016. However, if it adopt LCC HVDC, Jeju power system could be in voltage instable condition. In order to solve the problem, we propose the application of VSC HVDC to the 3rd HVDC project. In the past, VSC HVDC has many disadvantages such as, inefficiency in conversion, size limit, and expensiveness, compared to LCC HVDC. Recently, the new technologies and the demand for renewable energy interconnection are leading a large growth in VSC HVDC market. In this paper, we will introduce the technical and market trends of VSC HVDC and power system stability analysis results for Jeju power system having LCC and VSC HVDCs.