• Title/Summary/Keyword: Demand Response Operation

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A study on the development of a virtual power plant platform for the Efficient operation of small distributed resources (소규모 분산자원의 효율적 운용을 위한 가상발전소 플랫폼 개발)

  • Kim, Hee-Chul;Hong, Ho-Pyo
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.365-371
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    • 2021
  • In this study, The Virtual Power Plant (VPP) solution platform considered in this study minimizes the cost and investment risk associated with the construction of power generation and transmission facilities. In addition, it includes a Demand Response (DR) program operation function to meet consumers' electricity demand. With the introduction of VPP, it is possible to provide more eco-friendly and efficient power by responding to changes in consumer load in real time through existing generators and DR programs without large-scale facility investment in power generation and transmission/distribution sectors. In order to link the communication device to the solar power and ESS linkage device, it is necessary to transmit data in the control/state between the device device and the edge system and develop an IoT device and interworking platform (OneM2M).

Optimal Power Flow Considering Price Elasticity of Customer (소비자의 가격탄력성을 고려한 최적조류계산)

  • Joung, Sang-Houn;Shin, Young-Gyun;Kim, Bal-Ho H.
    • Proceedings of the KIEE Conference
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    • 2002.11b
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    • pp.372-374
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    • 2002
  • The Optimal Power Flow(OPF) is the optimization model that has different constraints and the specified objective function, which is very useful tool for efficient system and market operation in the competitive electricity market. The existed OPF models focus on the minimization of generation fuel cost under informed demand values at each bus Recently, the studies of OPF model with demand function considering the response behavior of customers in the deregulated electricity market have been executed. This paper implements the OPF model using demand function with specified price elasticity, and provides the analysis of related results.

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A Study on the User Satisfaction of Demand Response Transport(DRT) by Quantile Regression Analysis (분위회귀분석에 의한 수요응답형교통 이용자 만족도 분석)

  • Jang, Tae Youn;Han, Woo Jin;Kim, Jeong Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.3
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    • pp.118-128
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    • 2016
  • As the rural areas have experienced the population reduction and the aging, the service level of public transit decreases. This study analyzes the effecting factor to user satisfaction of demand response transport(DRT) as alternative to rural public transit by the quantile regression that aims at estimating either the conditional median or other quantiles of the response variable. Jeonbuk Province tested DRT operations in Dongsang of Wanju County and Sannae of Jeongup City each in 2015. The user DRT satisfaction of Wanju was higher than one of Jeongup in basic statistics analysis. The difference in satisfaction between higher quantile and lower quntile of Wanju is smaller than one of Jeongupy as a result of quantile regression analysis. Also, Wanju DRT continues the second test operation of DRT as satisfaction from Ordinary Least Squares(OLS) close to higher satisfaction quantile.

Engine-CVT Integrated Control Algorithm Considering Power train Loss and CVT Response Lag (동력전달계 동력손실계 CVT 응답지연을 고려한 엔진-CVT 통합제어 알고리즘)

  • 김달철;김현수
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.1
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    • pp.112-121
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    • 2001
  • In this paper, an engine-CVT integrated control algorithm is suggested by considering the powertrain loss, inertia torque and the CVT ratio response lag. The integrated control algorithm consists of (1) the optimal engine power calculation and (2) determining of the optimal throttle valve opening and the optimal CVT ratio. The optimal engine power is obtained by compensating the inertia torque due to the CVT ratio change and the powertrain loss that is calculated iteration procedure. In addition, an algorithm to compensate the effect of the CVT ratio response lag on the drive torque is suggested by the engine speed compensation causing the increased optimal CVT ratio. Simulation results show that the engine-CVT integrated control algorithm developed in this study makes it possible to obtain better engine operation on the optimal operating line, which results in the improved fuel economy while satisfying the driver's demand.

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Development of the Load Curtailment Allocation Algorithm for Load Aggregator in Emergeney Demand Response (부하관리사업자의 비상시 부하제어량 배분 알고리즘 개발)

  • Chung, Koo-Hyung;Kim, Jin-Ho;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.633-635
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    • 2003
  • Electricity industries throughout the world are undergoing unprecedented changes. As a result, these changes lead to the separation of traditional integrated utilities and the introduction of competition in order that increase efficiency in electricity industry. Direct load control (DLC) system in competitive electricity market has a hierarchical interactive operation system, therefore, its control logic is also applied by bilateral interactive method that interchanges information related to interruptible load between operation hierarchies. Consequently, load curtailment allocation algorithm appropriate for new DLC system is required, and based on interchanged information, this algorithm should be implemented by most efficient way for each operation hierarchy. In this paper, we develop the load curtailment allocation algorithm in an emergency for new DLC system. Especially, the optimal algorithm for load aggregator (LA) that participates in competitive electricity market as a main operator for load management is developed.

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Effects of optimal operating conditions on 2-stage injection PCCI diesel engine using Response Surface Methodology (반응 표면법을 이용한 2 단 분사 PCCI 디젤엔진의 운전조건의 영향도 평가에 대한 연구)

  • Lee, Jae-Hyeon;Kim, Hyung-Min;Lee, Ki-Hyung
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.3044-3048
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    • 2008
  • It is well known that Premixed Charge Compression Ignition (PCCI) diesel engines according to many technologies such a change in injection timing, multiple injection strategy, cooled EGR, intake charging and SCV have the potential to achieve homogeneous mixture in the cylinder which result in lower NOx and PM as well as performance improvements. This may generate merely the infinite number of experimental conditions. The use of Response Surface Methodology (RSM) technique can considerably pull down the number of experimental set and time demand. This paper presents the effects of both fuel injection and engine operation conditions on the combustion and emissions in the PCCI diesel engine system. The experimental results have revealed that a change in fuel injection timing and multiple injection strategy along with various operating conditions affect the combustion, emissions and BSFC characteristics in the PCCI engine.

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An Analysis of Artwork E-Commerce:With Focus on the Marketing Sucess Factors (마케팅적 성공요인 관점에서 본 미술품 전자상거래분석)

  • Lee, Woo-Chae
    • International Commerce and Information Review
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    • v.7 no.4
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    • pp.59-76
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    • 2005
  • In this research, electronic commercial web-sites of artwork are analysed with ten marketing success factors such as, low price, variety of products convenience of shopping, ensure credibility DB marketing, providing information, virtual community, preoccupying the marketing, quick response, and strategic cooperation. The analysis showed that the main problem of the Korean fine art market is the lack of demand. Though the problem of the offline fine art market is not to be solved by websites, it seems that the solution should be brought through the operation of websites with long-term plans and patience.

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Load Forecasting and ESS Scheduling Considering the Load Pattern of Building (부하 패턴을 고려한 건물의 전력수요예측 및 ESS 운용)

  • Hwang, Hye-Mi;Park, Jong-Bae;Lee, Sung-Hee;Roh, Jae Hyung;Park, Yong-Gi
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.9
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    • pp.1486-1492
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    • 2016
  • This study presents the electrical load forecasting and error correction method using a real building load pattern, and the way to manage the energy storage system with forecasting results for economical load operation. To make a unique pattern of target load, we performed the Hierarchical clustering that is one of the data mining techniques, defined load pattern(group) and forecasted the demand load according to the clustering result of electrical load through the previous study. In this paper, we propose the new reference demand for improving a predictive accuracy of load demand forecasting. In addition we study an error correction method for response of load events in demand load forecasting, and verify the effects of proposed correction method through EMS scheduling simulation with load forecasting correction.

A Study on the V2G Application using the Battery of Electric Vehicles under Smart Grid Environment (스마트그리드 환경에서 전기자동차 배터리를 이용한 V2G의 활용방안에 관한 연구)

  • Choi, Jin-Young;Park, Eun-Sung
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.63 no.1
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    • pp.40-45
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    • 2014
  • This study examines the system and process of battery stored energy in vehicles and suggest the effective area for the use of V2G(vehicle-to-grid) from Jeju Smart Grid Demonstration Project. V2G means technology of electric power transmission from the battery of electric-drive vehicles to state grid. As for the increasing of effectiveness for demand-side control, V2G is a very good alternative. In the U.S., the utilization of electric vehicles is under 40% on average. In this case, we can use he battery of electric vehicle as role of frequency regulation or generator of demand-side resource. V2G, which is the element of Smart Transportation, consists of electric vehicle battery, BMS(battery management system), OBC(on-board charger), charging infrastructure, NOC(network operating center) and TOC(total operation center). V2G application has been tested for frequency regulation to secure the economical efficiency in the United States. In this case, the battery cycle life is not verified its disadvantage. On the other hand, Demand Response is required by low c-rate of battery in electric vehicle and It can be small impact on the battery cycle life. This paper concludes business area of demand response is more useful than frequency regulation in V2G application of electric vehicles in Korea. This provides the opportunity to create a new business for power grid administrator with VPP(virtual power plant).

Suggestion of Logic to Control Power Plant Equipped ESS in case of Full Open Turbine Control Valve (ESS를 이용한 발전소 터빈제어밸브 전개 운전 제어로직 제안)

  • In Young Chung;Jae-Heon Lee
    • Plant Journal
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    • v.18 no.4
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    • pp.66-72
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    • 2023
  • In order to respond to the demand for flexible operation of thermal power generation, development of natural sliding pressure operation that minimizes throttle loss by opening the turbine control valve 100% and maximize power generation efficiency in conjunction with ESS in order to quickly respond to fluctuations in the system frequency is required. The logic development of natural sliding pressure operation with ESS was developed to modify the existing logic at the power plant's top-level control logic such as the unit master, the boiler master and the turbine master. Cooperative control algorithms that complement the advantages and disadvantages of ESS operation (quick response, limited capacity) and power plant operation (slow response, continuous operation) not only improve efficiency when applied to actual power plants, but also respond quickly and flexibly to load demands to ensure system stability.

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