• Title/Summary/Keyword: demand control

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DP Formulation of Microgrid Operation with Heat and Electricity Constraints

  • Nguyen, Minh Y;Choi, Nack-Hyun;Yoon, Yong-Tae
    • Journal of Power Electronics
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    • v.9 no.6
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    • pp.919-928
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    • 2009
  • Microgrids (MGs) are typically comprised of distributed generators (DGs) including renewable energy sources (RESs), storage devices and controllable loads, which can operate in either interconnected or isolated mode from the main distribution grid. This paper introduces a novel dynamic programming (DP) approach to MG optimization which takes into consideration the coordination of energy supply in terms of heat and electricity. The DP method has been applied successfully to several cases in power system operations. In this paper, a special emphasis is placed on the uncontrollability of RESs, the constraints of DGs, and the application of demand response (DR) programs such as directed load control (DLC), interruptible/curtaillable (I/C) service, and/or demand-side bidding (DSB) in the deregulated market. Finally, in order to illustrate the optimization results, this approach is applied to a couple of examples of MGs in a certain configuration. The results also show the maximum profit that can be achieved.

Utilization Demand Analysis: An Integrated Admission Control Approach for a Mixed Set of Periodic and Aperiodic Tasks (이용율 요구 분석: 주기와 비주기 혼합 태스크 집합에 대한 통합 수락 제어 기법)

  • 박정근;유민수;홍성수
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.97-99
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    • 2004
  • 본 논문에서는 주기와 비주기 실시간 태스크가 혼합된 태스크 집합에 대하여 이용율 요구 분석(utilization demand analysis)에 기반한 수락제어 기법을 제안한다. 이용율 요구는 혼합 태스크 집합의 모든 태스크가 종료시한 내에 수행을 마치기 위한 프로세서의 이용율로 정의된다. 본 논문에서는 비주기 태스크 집합과 주기 태스크 집합 각각의 이용율 요구를 정의하고 혼합 태스크 집합에 대한 이용율 요구 분석 기법을 제공한다. 제안된 기법은 비주기 태스크에 대한 이용율 요구를 재귀적으로 계산하여 태스크의 수락여부를 결정한다. 이러한 기법은 O(n)에 스케줄링 분석을 수행하고 복잡한 자료구조가 필요하지 않아서 실시간 수락제어를 가능하게 한다.

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Phase Matching of Pressure Wave in a Drop-On-Demand Inkjet Print Head (요구 적출형 잉크젯 프린트 헤드에서의 압력파 위상 정합)

  • Kim, Myong-Ki;Hwang, Jun-Young;Lee, Sang-Ho;Kang, Kyung-Tae;Kang, Heui-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.9
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    • pp.116-125
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    • 2008
  • Inkjet printing technology with a drop-on-demand (DOD) inkget head technology has been recognized as one of versatile and low cost manufacturing tools in the electronics industry. Concerned with control of driving signal, however, general strategy to optimize jetting stability has not been understood well, because of the inherent complex multi-physics nature in inkjet phenomena. Motivated by this, present study investigates the effect of driving waveforms of piezoelectric head on jetting characteristics of DOD inkjet system focused on jetting stability with phase matching of pressure waves in the print head. The results show that velocities and volumes of the ink jetted droplets were linear relations with the driving signal's maximum voltage, while periodic behaviors are observed with the driving signal's pulse widths.

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.

Phase Matching of Pressure Wave in a Drop-On-Demand Inkjet Print Head (요구 적출형 잉크젯 프린트 헤드에서의 압력파 위상 정합)

  • Kim, Myong-Ki;Hwang, Jun-Young;Lee, Sang-Ho;Kang, Kyung-Tae;Park, Mun-Su
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.1444-1449
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    • 2007
  • Inkjet printing technology with a drop-on-demand (DOD) inkjet head technology has been recognized as one of versatile and low cost manufacturing tools in the electronics industry. Concerned with control of driving signal, however, general strategy to optimize jetting stability has not been understood well, because of the inherent complex multi-physics nature in inkjet phenomena. Motivated by this, present study investigates the effect of driving waveforms of piezoelectric head on jetting characteristics of DOD inkjet system focused on jetting stability with phase matching of pressure waves in the print head. The results show that velocities and volumes of the ink jetted droplets were linear relations with the driving signal's maximum voltage, while periodic behaviors are observed with the driving signal's pulse widths.

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A Model for Determining Optimal Input Quantity in a Semiconductor Production Line Considering Yield Randomness and Demand Uncertainty (불확실한 수율과 수요를 고려한 반도체 생산라인에서의 최적 투입량 결정모형)

  • 박광태;안봉근
    • Journal of the Korean Operations Research and Management Science Society
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    • v.20 no.1
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    • pp.27-34
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    • 1995
  • In this paper, we have developed a model to determine the input quantity to be processed at each stage of a multi-stage production system in which the yield at each stage may be random and may need reworking at this stage. Yield randomness. especially in a semiconductor industry, is a most challenging problem for production control. The demand for flnal product is uncertain. We have extended the model proposed in Park and Kim[9] to consider a multiple number of reworkings which can be done at any stage prior to or tat the stage whose output in bad, depending on the level of the defect.

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Safety Critical I&C Component Inventory Management Method for Nuclear Power Plant using Linear Data Analysis Technic

  • Jung, Jae Cheon;Kim, Haek Yun
    • Journal of the Korean Society of Systems Engineering
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    • v.16 no.1
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    • pp.84-97
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    • 2020
  • This paper aims to develop an optimized inventory management method for safety critical Instrument and Control (I&C) components. In this regard, the paper focuses on estimating the consumption rate of I&C components using demand forecasting methods. The target component for this paper is the Foxboro SPEC-200 controller. This component was chosen because it has highest consumption rate among the safety critical I&C components in Korean OPR-1000 NPPs. Three analytical methods were chosen in order to develop the demand forecasting methods; Poisson, Generalized Linear Model (GLM) and Bootstrapping. The results show that the GLM gives better accuracy than the other analytical methods. This is because the GLM considers the maintenance level of the component by discriminating between corrective and preventive.

Implementation of DBR System with Kanban in a Production Line of Static Demand (안정된 수요를 갖는 생산라인에서 Kanban을 사용한 DBR 시스템 구현)

  • Koh, Shie-Gheun;Kim, Jae-Hwan
    • IE interfaces
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    • v.15 no.1
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    • pp.99-106
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    • 2002
  • A recently developed alternative to traditional production planning and control systems such as material requirement planning(MRP) and just-in-time(JIT) is the drum-buffer-rope(DBR). The DBR now being implemented in growing number of manufacturing organizations enables better scheduling and decision making on the shop floor. In implementing the DBR, however, an information system is usually needed to transmit the signal that runs from the constraint to material release. In this paper we propose a different mechanism to transmit the signal in the case that the demand of product is stable, which uses the well-known Kanban system. To improve the reality, this paper shows and example of the Kanban format, its operation, and calculation of the number of Kanbans.

Operational Optimization Analysis of Industrial Operators' Fleet (화주 직접운항 선대의 운영 최적화 분석)

  • 김시화;이경근
    • Journal of the Korean Operations Research and Management Science Society
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    • v.23 no.4
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    • pp.33-51
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    • 1998
  • The industrial operation is one of the three basic modes of shipping operation with liner and Tramp operations. Industrial operators usually control vessels of their own or on a time charter to minimize the cost of shipping their cargoes. Such operations abound in shipping of bulk commodities, such as oil, chemicals and ores. This work is concerned with an operational optimization analysis of the fleet owned by a major oil company. a typical industrial operator. The operational optimization problem of the fleet of a major oil company is divided Into two phase problem. The front end corresponds to the optimization problem of the transportation of crude oil. product mix. and the distribution of product oil to comply with the demand of the market. The back end tackles the scheduling optimization problem of the fleet to meet the seaborne transportation demand derived from the front end. A case study reflecting the practices of an international major oil company is demonstrated to make clear the underlying ideas.

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Probabilistic analysis of seismically isolated elevated liquid storage tank using multi-phase friction bearing

  • Moeindarbari, Hesamaldin;Malekzadeh, Masoud;Taghikhany, Touraj
    • Earthquakes and Structures
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    • v.6 no.1
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    • pp.111-125
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    • 2014
  • Multiple level performance of seismically isolated elevated storage tank isolated with multi-phase friction pendulum bearing is investigated under totally 60 records developed for multiple level seismic hazard analysis (SLE, DBE and MCE). Mathematical formulations involving complex time history analysis have been proposed for analysis of typical storage tank by multi-phase friction pendulum bearing. Multi-phase friction pendulum bearing represent a new generation of adaptive friction isolation system to control super-structure demand in different hazard levels. This isolator incorporates four concave surfaces and three independent pendulum mechanisms. Pendulum stages can be set to address specific response criteria for moderate, severe and very severe events. The advantages of a Triple Pendulum Bearing for seismic isolation of elevated storage tanks are explored. To study seismic performance of isolated elevated storage tank with multi-phase friction pendulum, analytical simulations were performed with different friction coefficients, pendulum radii and slider displacement capacities.