• 제목/요약/키워드: Generation scheduling

검색결과 265건 처리시간 0.026초

이동 멀티미디어 망을 위한 상호관계기반 자원 할당 방법 (Interrelation Based Resource Allocation Scheme for Mobile Multimedia Networks)

  • 이종찬;이문호
    • 한국컴퓨터정보학회논문지
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    • 제15권8호
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    • pp.79-87
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    • 2010
  • 모바일 멀티미디어 환경에서 초고속의 서비스를 요구하는 다수의 사용자를 수용하려면 마이크로/피코 셀과 같이 셀의 크기를 더욱 줄여서 무선 자원의 재사용성을 증대시켜야 한다. 특히 멀티미디어 트래픽의 전송 중에 핸드오버가 발생한다면, 멀티미디어 트래픽의 QoS가 지연 및 손실에 의하여 영향 받기 때문에 정지 상태와 동일한 QoS를 유지하기 위하여 효율적인 자원 예약 및 할당 방안이 필요하다. 본 논문에서는 차세대 이동 통신망에서 멀티미디어 서비스의 효율적인 QoS를 제공하기 위한 방안의 하나로서, 수락 제어, 부하 제어 그리고 패킷 스케쥴러와 밀접한 관련성을 갖는 자원 할당 방법을 제안한다. 시뮬레이션을 통하여 제안된 방법의 우수성을 평가한다.

Low-Complexity Distributed Algorithms for Uplink CoMP in Heterogeneous LTE Networks

  • Annavajjala, Ramesh
    • Journal of Communications and Networks
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    • 제18권2호
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    • pp.150-161
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    • 2016
  • Coordinated multi-point transmission (CoMP) techniques are being touted as enabling technologies for interference mitigation in next generation heterogeneous wireless networks (HetNets). In this paper, we present a comparative performance study of uplink (UL) CoMP algorithms for the 3GPP LTE HetNets. Focusing on a distributed and functionally-split architecture, we consider six distinct UL-CoMP algorithms: 1. Joint reception in the frequency-domain (JRFD) 2. Two-stage equalization (TSEQ) 3. Log-likelihood ratio exchange (LLR-E) 4. Symmetric TSEQ (S-TSEQ) 5. Transport block selection diversity (TBSD) 6. Coordinated scheduling with adaptive interference mitigation (CS-AIM) where JRFD, TSEQ, S-TSEQ, TBSD and CS-AIM are our main contributions in this paper, and quantify their relative performances via the post-processing signal-to-interference-plus-noise ratio distributions.We also compare the CoMP-specific front-haul rate requirements for all the schemes considered in this paper. Our results indicate that, with a linear minimum mean-square error receiver, the JRFD and TSEQ have identical performances, whereas S-TSEQ relaxes the front-haul latency requirements while approaching the performance of TSEQ. Furthermore, in a HetNet environment, we find that CS-AIM provides an attractive alternative to TBSD and LLR-E with a significantly reduced CoMP-specific front-haul rate requirement.

Application of Particle Swarm Optimization to the Reliability Centered Maintenance Method for Transmission Systems

  • Heo, Jae-Haeng;Lyu, Jae-Kun;Kim, Mun-Kyeom;Park, Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • 제7권6호
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    • pp.814-823
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    • 2012
  • Electric power transmission utilities make an effort to maximize profit by reducing their electricity supply and operation costs while maintaining their reliability. The development of maintenance strategies for aged components is one of the more effective ways to achieve this goal. The reliability centered approach is a key method in providing optimal maintenance strategies. It considers the tradeoffs between the upfront maintenance costs and the potential costs incurred by reliability losses. This paper discusses the application of the Particle Swarm Optimization (PSO) technique used to find the optimal maintenance strategy for a transmission component in order to achieve the minimum total expected cost composed of Generation Cost (GC), Maintenance Cost (MC), Repair Cost (RC) and Outage Cost (OC). Three components of a transmission system are considered: overhead lines, underground cables and insulators are considered. In regards to aged and aging component, a component state model that uses a modified Markov chain is proposed. A simulation has been performed on an IEEE 9-bus system. The results from this simulation are quite encouraging, and then the proposed approach will be useful in practical maintenance scheduling.

An Improved Photovoltaic System Output Prediction Model under Limited Weather Information

  • Park, Sung-Won;Son, Sung-Yong;Kim, Changseob;LEE, Kwang Y.;Hwang, Hye-Mi
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.1874-1885
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    • 2018
  • The customer side operation is getting more complex in a smart grid environment because of the adoption of renewable resources. In performing energy management planning or scheduling, it is essential to forecast non-controllable resources accurately and robustly. The PV system is one of the common renewable energy resources in customer side. Its output depends on weather and physical characteristics of the PV system. Thus, weather information is essential to predict the amount of PV system output. However, weather forecast usually does not include enough solar irradiation information. In this study, a PV system power output prediction model (PPM) under limited weather information is proposed. In the proposed model, meteorological radiation model (MRM) is used to improve cloud cover radiation model (CRM) to consider the seasonal effect of the target region. The results of the proposed model are compared to the result of the conventional CRM prediction method on the PV generation obtained from a field test site. With the PPM, root mean square error (RMSE), and mean absolute error (MAE) are improved by 23.43% and 33.76%, respectively, compared to CRM for all days; while in clear days, they are improved by 53.36% and 62.90%, respectively.

ATM 망에서 트래픽 다중화 정보에 의한 적응적 UPC 알고리즘에 관한 연구 (A Study on an Adaptive UPC Algorithm Based on Traffic Multiplexing Information in ATM Networks)

  • 김영철;변재영;서현승
    • 한국정보처리학회논문지
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    • 제6권10호
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    • pp.2779-2789
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    • 1999
  • In this paper, we propose a new neural Buffered Leaky Bucket algorithm for preventing the degradation of network performance caused by congestion and dealing with the traffic congestion in ATM networks. We networks. We justify the validity of the suggested method through performance comparison in aspects of cell loss rate and mean transfer delay under a variety of traffic conditions requiring the different QoS(Quality of Service). also, the cell scheduling algorithms such as DWRR and DWEDF used for multiplexing the incoming traffics are induced to get the delay time of the traffics fairly. The network congestion information from cell scheduler is used to control the predicted traffic loss rate of Neural Leaky Bucket, and token generation rate is changed by the predicted values. The prediction of traffic loss rate by neural networks can effectively reduce the cell loss rate and the cell transfer delay of next incoming cells and be applied to other traffic control systems. Computer simulation results performed for traffic prediction show that QoSs of the various kinds of traffics are increased.

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비주거용 소비자 전력요금최소화 목적 BESS 최적운영 및 경제성 평가 (Electric Bill Minimization Model and Economic Assessment of Battery Energy Storage Systems Installed in a Non-residential Customer)

  • 박용기;권경민;임성수;박종배
    • 전기학회논문지
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    • 제65권8호
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    • pp.1347-1354
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    • 2016
  • This paper presents optimal operational scheduling model and economic assessment of Li-ion battery energy storage systems installed in non-residential customers. The operation schedule of a BESS is determined to minimize electric bill, which is composed of demand and energy charges. Dynamic programming is introduced to solve the nonlinear optimization problem. Based on the optimal operation schedule result, the economics of a BESS are evaluated in the investor and the social perspective respectively. Calculated benefits in the investor or customer perspective are the savings of demand charge, energy charge, and related taxes. The social benefits include fuel cost savings of generating units, construction deferral effects of the generation capacity and T&D infra, and incremental CO2 emission cost impacts, etc. Case studies are applied to an large industrial customer that shows similarly repeated load patterns according to days of the week.

차세대 인터넷 VOD 서비스를 위한 효율적인 오버레이 멀티캐스트 스케줄링 (An Efficient Overlay Multi-cast Scheduling for Next Generation Internet VOD Service)

  • 최성욱
    • 한국컴퓨터산업학회논문지
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    • 제9권2호
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    • pp.53-62
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    • 2008
  • IPTV VOD 서버에 관계된 연구는, 궁극적으로 디스크 성능, 버퍼 사용도 그리고 네트워크 대역폭 등 서버의 주어진 자원 한계 아래에서 얼마만큼 사용자의 수를 최대화 하느냐에 주된 관심이 되고 있다. 최근 IP 멀티캐스팅 대신에 각광을 받고 있는 오버레이 멀티캐스팅 기법은 네트워크 응용계층의 서비스로써, 서버의 자원 활용과 네트워크의 대역폭에 대한 비용 면에서 유리하다. 본 논문에서는 효율적인 멀티미디어 서비스를 위하여 오버레이 멀티캐스팅 환경에서의 스토리지 파티션 정책을 제안한다. 시뮬레이션 해본결과 표준 방식보다 서비스 수와 서비스 처리시간에서 약 23% 정도 향상 성능을 보였는데, 이는 서비스 사용자의 수를 증가 시키는 문제와 밀접한 관련이 있다.

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A Parallel Genetic Algorithm for Solving Deadlock Problem within Multi-Unit Resources Systems

  • Ahmed, Rabie;Saidani, Taoufik;Rababa, Malek
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.175-182
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    • 2021
  • Deadlock is a situation in which two or more processes competing for resources are waiting for the others to finish, and neither ever does. There are two different forms of systems, multi-unit and single-unit resource systems. The difference is the number of instances (or units) of each type of resource. Deadlock problem can be modeled as a constrained combinatorial problem that seeks to find a possible scheduling for the processes through which the system can avoid entering a deadlock state. To solve deadlock problem, several algorithms and techniques have been introduced, but the use of metaheuristics is one of the powerful methods to solve it. Genetic algorithms have been effective in solving many optimization issues, including deadlock Problem. In this paper, an improved parallel framework of the genetic algorithm is introduced and adapted effectively and efficiently to deadlock problem. The proposed modified method is implemented in java and tested on a specific dataset. The experiment shows that proposed approach can produce optimal solutions in terms of burst time and the number of feasible solutions in each advanced generation. Further, the proposed approach enables all types of crossovers to work with high performance.

AUTOMATED HAZARD IDENTIFICATION FRAMEWORK FOR THE PROACTIVE CONSIDERATION OF CONSTRUCTION SAFETY

  • JunHyuk Kwon;Byungil Kim;SangHyun Lee;Hyoungkwan Kim
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.60-65
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    • 2013
  • Introducing the concept of construction safety in the design/engineering phase can improve the efficiency and effectiveness of safety management on construction sites. In this sense, further improvements for safety can be made in the design/engineering phase through the development of (1) an automated hazard identification process that is little dependent on user knowledge, (2) an automated construction schedule generation to accommodate varying hazard information over time, and (3) a visual representation of the results that is easy to understand. In this paper, we formulate an automated hazard identification framework for construction safety by extracting hazard information from related regulations to eliminate human interventions, and by utilizing a visualization technique in order to enhance users' understanding on hazard information. First, the hazard information is automatically extracted from textual safety and health regulations (i.e., Occupational Safety Health Administration (OSHA) Standards) by using natural language processing (NLP) techniques without users' interpretations. Next, scheduling and sequencing of the construction activities are automatically generated with regard to the 3D building model. Then, the extracted hazard information is integrated into the geometry data of construction elements in the industry foundation class (IFC) building model using a conformity-checking algorithm within the open source 3D computer graphics software. Preliminary results demonstrate that this approach is advantageous in that it can be used in the design/engineering phases of construction without the manual interpretation of safety experts, facilitating the designers' and engineers' proactive consideration for improving safety management.

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BIM-BASED PLANNING OF TEMPORARY FACILITIES FOR CONCRETE CONSTRUCTION

  • Kyungki Kim;Jochen Teizer
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.1-6
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    • 2013
  • Concrete construction requires utilization of many temporary facilities such as formwork, shoring, and scaffolding. Appropriate use of these temporary facilities greatly impacts the quality, cost, schedule, and safety of concrete construction. The current practice in design and planning of temporary facilities is often manual, error-prone, and re-active based on construction site layout, status, and progress in the field. Early design and planning of temporary facilities for concrete construction using Building Information Modeling (BIM) technology offers a potential solution. Although some commercially-available software exists that assists in the generation of temporary facility designs, the construction industry lacks tools that support detailed planning and design of many other temporary facilities. This research presents our early work in automating the design and planning of temporary facilities utilizing BIM. Algorithms were developed to automatically assess geometric conditions of work space to detect required temporary facilities and design them. The proposed methodology was implemented in a test model. By automatically incorporating temporary facilities into BIM, more realistic construction models can be created with less effort and errors. Temporary facilities-loaded models can finally be used for communication, bill of materials, scheduling, etc. and as a benchmark for field installation of temporary formwork, shoring, and scaffolding systems.

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