• Title/Summary/Keyword: generation scheduling

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Generator's Maintenance Scheduling to Improve Supply Reliability (공급신뢰도 개선을 위한 발전기 보수계획)

  • 차준민
    • Journal of Energy Engineering
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    • v.7 no.1
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    • pp.89-95
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    • 1998
  • Maintenance scheduling of generators plays an important role in evaluating supply reliability of power systems. Since generators must be maintained and inspected, the generation planner must schedule planned outages during the year. Several factors entering into this scheduling analysis include: seasonal load-demand profile, amount of maintenance, size of the units, elapsed time from last maintenance, and availability of maintenance crew. This paper proposes a new maintenance scheduling algorithm for the alternatives of long-term generation expansion planning by using LOLP levelization method which is known as an effective method for the generator's maintenance scheduling. To get the best supply reliability of power systems, we change the maintenance period to levelize the reliability over all period. The proposed algorithm is applied to a real size power system and the better reliability results are obtained.

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Heuristic Procedure on General n/m Job-Shop Scheduling Generation

  • Won, Chin Hee;Kim, Man Shik
    • Journal of Korean Society for Quality Management
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    • v.16 no.1
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    • pp.32-42
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    • 1988
  • The general n/m job-shop problem is easy to state what is required, but it is extremely difficult to make any progress whatever toward a solution. This paper was first to examine a heuristic procedure of general n/m scheduling generation focused on the procedure of MWRK (Most Work Remaining) presented by Giffler and Thompson (1960) among others. Then modified procedure was proposed to obtain better solution in light of the key measure of performance compared with that of the literature presented by Baker (1974). The modified procedure then has been extended to other example problem to test the better results and to assure the properness of application.

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Scheduling with Heterogeneous QoS Provisioning for Indoor Visible-light Communication

  • Dong, Xiaoli;Chi, Xuefen;Sun, Hongliang;Zhu, Yuhong
    • Current Optics and Photonics
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    • v.2 no.1
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    • pp.39-46
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    • 2018
  • Visible-light communication (VLC) combined with advanced illumination can be expected to become an integral part of next-generation communication networks. One of the major concerns in VLC implementation is developing resource-allocation schemes in a multi-user scenario. However, the scheduling for heterogeneous quality of service (QoS) traffic has not been studied so far, for the indoor VLC downlink system. In this paper, we creatively introduce effective-bandwidth and effective-capacity theory into the multi-user scheduling (MUS) problem, to guarantee the user's statistical delay QoS. We also take account of the aggregate interference (AI) in the indoor VLC downlink system, and analyze its impact on the user-centric MUS problem for the first time. Simulations show that the AI has a nonnegligible influence on the scheduling result, and that the proposed scheduling scheme could guarantee the user's QoS requirement under the premise of ensuring sum capacity.

Intelligent FMC Scheduling Utilizing Neural Network and Expert System (신경회로망과 전문가시스템에 의한 FMC의 지능형 스케쥴링)

  • 박승규;이창훈;김유남;장석호;우광방
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.651-657
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    • 1998
  • In this study, an intelligent scheduling with hybrid architecture, which integrates expert system and neural network, is proposed. Neural network is trained with the data acquired from simulation model of FMC to obtain the knowledge about the relationship between the state of the FMC and its best dispatching rule. Expert system controls the scheduling of FMC by integrating the output of neural network, the states of FMS, and user input. By applying the hybrid system to a scheduling problem, the human knowledge on scheduling and the generation of non-logical knowledge by machine teaming, can be processed in one scheduler. The computer simulation shows that comparing with MST(Minimum Slack Time), there is a little increment in tardness, 5% growth in flow time. And at breakdown, tardness is not increased by expert system comparing with EDD(Earliest Due Date).

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Study on Automatic Generation of Platform Configuration Register in FlexRay Protocol (FlexRay 프로토콜에서 플랫폼 구성 변수의 자동 생성에 관한 연구)

  • Yang, Jae-Sung;Park, Jee-Hun;Lee, Suk;Lee, Kyung-Chang;Choi, GwangHo
    • IEMEK Journal of Embedded Systems and Applications
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    • v.7 no.1
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    • pp.41-52
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    • 2012
  • Recently, FlexRay was developed to replace controller area network (CAN) protocol in chassis networking systems, to remedy the shortage of transmission capacity and unsatisfactory real-time transmission delay of conventional CAN. FlexRay network systems require correct synchronization and complex scheduling parameters. However, because platform configuration register (PCR) setting and message scheduling is complex and bothersome task, FlexRay is more difficult to implement in applications than CAN protocol. To assist a network designer for implementing FlexRay cluster, this paper presents an analysis of FlexRay platform configuration register and automatic generation program of PCR. To demonstrate the feasibility of the automatic generation program, we evaluated its performance using experimental testbed.

Generator Scheduling and Bidding Strategies in Competitive Electricity Market (경쟁시장에서 유지보수계획 및 입찰전략 수립에 관한 연구)

  • Ko, Young-Jun;Lee, Hyo-Sang;Shin, Dong-Joon;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.429-431
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    • 2001
  • The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. This paper represents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

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A Development of Dispatch Schedule Program for TWBP Using Object Oriented Technique (객체지향기법을 이용한 도매전력시장에서의 급전계획 프로그램 개발)

  • Kim Gwang Won
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.3
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    • pp.152-157
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    • 2005
  • An objected-oriented programming(OOP) technique is introduced to dispatch schedules for TWBP. Some dispatch schedules such as constrained (pre)dispatch, unconstrained (pre)dispatch, and nominal self-dispatch schedule need to be peformed to make power market work. These dispatch schedules are similar but have some differences in required constraints, needed data, and scheduling time. Therefore, it makes the scheduling program simple to introduce the OOP technique to this problem: to have each instance of the OOP perform its own dispatch scheduling. The developed program adopts linear programming(LP) as an optimization tool and could consider some crucial constraints such as power balance, generation power limits, generation ramp-rates, power limitations of transmission lines, and power system security.

Stability Improvement of Distributed Power Generation Systems with an LCL-Filter Using Gain Scheduling Based on Grid Impedance Estimations

  • Choi, Dae-Keun;Lee, Kyo-Beum
    • Journal of Power Electronics
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    • v.11 no.4
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    • pp.599-605
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    • 2011
  • This paper proposes a gain scheduling method that improves the stability of grid-connected systems employing an LCL-filter. The method adjusts the current controller gain through an estimation of the grid impedance in order to reduce the resonance that occurs when using an LCL-filter to reduce switching harmonics. An LCL-filter typically has a frequency spectrum with a resonance peak. A change of the grid-impedance results in a change to the resonant frequency. Therefore an LCL-filter needs a damping method that is applicable when changing the grid impedance for stable system control. The proposed method instantaneously estimates the grid impedance and observes the resonant frequency at the same time. Consequently, the proposed method adjusts the current controller gain using a gain scheduling method in order to guarantee current controller stability when a change in the resonant frequency occurs. The effectiveness of the proposed method has been verified by simulations and experimental results.

Machine Diagnosis and Maintenance Policy Generation Using Adaptive Decision Tree and Shortest Path Problem (적응형 의사결정 트리와 최단 경로법을 이용한 기계 진단 및 보전 정책 수립)

  • 백준걸
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.2
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    • pp.33-49
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    • 2002
  • CBM (Condition-Based Maintenance) has increasingly drawn attention in industry because of its many benefits. CBM Problem Is characterized as a state-dependent scheduling model that demands simultaneous maintenance actions, each for an attribute that influences on machine condition. This problem is very hard to solve within conventional Markov decision process framework. In this paper, we present an intelligent machine maintenance scheduler, for which a new incremental decision tree learning method as evolutionary system identification model and shortest path problem as schedule generation model are developed. Although our approach does not guarantee an optimal scheduling policy in mathematical viewpoint, we verified through simulation based experiment that the intelligent scheduler is capable of providing good scheduling policy that can be used in practice.

A Comparative Study on Optimal Generation Maintenance Scheduling with Marginal Maintenance Cost and Levelized Risk Methods (한계보수비용법 및 위험지수 평준화법에 의한 최적전원보수계획의 비교)

  • 이봉용;심건보
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.1
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    • pp.9-17
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    • 1992
  • Proper resource allocation is also a very important topic in power system problems, especially in operation and planning. One such is optimal maintenance problem in operation and planning. Least cost and highest reliability should be the subjects to be pursued. A probabilistic operation simulation model developed recently by authors is applied to the proboem of optimal maintenance scheduling. Three different methods are compared, marginal maintenance cost, levelized risk and maintenance space. The method by the marginal maintenance costs shows the least cost, the highest reliability and the highest maintenance outage rates. This latter characteristics may considerably influence the results of genetation planning, because the usual maintenance outages obtained from the other methods have shown to be lower.

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