• Title/Summary/Keyword: Grid Scheduling

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Energy Consumption Scheduling in a Smart Grid Including Renewable Energy

  • Boumkheld, Nadia;Ghogho, Mounir;El Koutbi, Mohammed
    • Journal of Information Processing Systems
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    • v.11 no.1
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    • pp.116-124
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    • 2015
  • Smart grids propose new solutions for electricity consumers as a means to help them use energy in an efficient way. In this paper, we consider the demand-side management issue that exists for a group of consumers (houses) that are equipped with renewable energy (wind turbines) and storage units (battery), and we try to find the optimal scheduling for their home appliances, in order to reduce their electricity bills. Our simulation results prove the effectiveness of our approach, as they show a significant reduction in electricity costs when using renewable energy and battery storage.

Efficient Server Virtualization using Grid Service Infrastructure

  • Baek, Sung-Jin;Park, Sun-Mi;Yang, Su-Hyun;Song, Eun-Ha;Jeong, Young-Sik
    • Journal of Information Processing Systems
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    • v.6 no.4
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    • pp.553-562
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    • 2010
  • The core services in cloud computing environment are SaaS (Software as a Service), Paas (Platform as a Service) and IaaS (Infrastructure as a Service). Among these three core services server virtualization belongs to IaaS and is a service technology to reduce the server maintenance expenses. Normally, the primary purpose of sever virtualization is building and maintaining a new well functioning server rather than using several existing servers, and in improving the various system performances. Often times this presents an issue in that there might be a need to increase expenses in order to build a new server. This study intends to use grid service architecture for a form of server virtualization which utilizes the existing servers rather than introducing a new server. More specifically, the proposed system is to enhance system performance and to reduce the corresponding expenses, by adopting a scheduling algorithm among the distributed servers and the constituents for grid computing thereby supporting the server virtualization service. Furthermore, the proposed server virtualization system will minimize power management by adopting the sleep severs, the subsidized servers and the grid infrastructure. The power maintenance expenses for the sleep servers will be lowered by utilizing the ACPI (Advanced Configuration & Power Interface) standards with the purpose of overcoming the limits of server performance.

Resource Scheduling Framework based on Resource Parameter Graph (자원인자 기반 스케줄링 프레임워크)

  • 배재환;권성호;김덕수;이강우
    • Journal of Korea Society of Industrial Information Systems
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    • v.8 no.3
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    • pp.19-31
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    • 2003
  • For the implementation of large scale GRID systems, the performance scalability in resource scheduling is clearly to be addressed. In this research, we analyzed existing scheduling frameworks from the viewpoint of the performance and propose a novel resource scheduling framework called resource parameter based scheduling. Proposed scheduling framework consists of three components. The first is the resource parameter graph that expresses resource information via inter-resource relation and the composition base on the hierarchical structure. The second component is the resource parameter tree to be used for the implementation of the memory-based index of resource information. The third component is the resource information repository which mostly consists of static data to be used for the general resource information services. This paper presents the details of the framework.

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ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

  • Han, Seok-Man;Chung, Koo-Hyung;Kim, Balho-H.
    • Journal of Electrical Engineering and Technology
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    • v.6 no.4
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    • pp.431-438
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    • 2011
  • To ensure that equipment outages do not directly impact the reliability of the ISO-controlled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO's maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO) by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.

Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

  • Wang, Jidong;Ran, Ran;Song, Zhilin;Sun, Jiawen
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.64-71
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    • 2017
  • Considering the volatility, intermittent and random of photovoltaic (PV) generation systems, accurate forecasting of PV power output is important for the grid scheduling and energy management. In order to improve the accuracy of short-term power forecasting of PV systems, this paper proposes a prediction model based on environmental factors and support vector machine optimized by genetic algorithm (GA-SVM). In order to improve the prediction accuracy of this model, weather conditions are divided into three types, and the gray correlation coefficient algorithm is used to find out a similar day of the predicted day. To avoid parameters optimization into local optima, this paper uses genetic algorithm to optimize SVM parameters. Example verification shows that the prediction accuracy in three types of weather will remain at between 10% -15% and the short-term PV power forecasting model proposed is effective and promising.

Web-based Dynamic-scheduling Simulation Platform for Grid Computing (그리드 컴퓨팅을 위한 웹기반 동적스케줄링 시뮬레이션 플랫폼)

  • Kang Sang-Seong;Kang Oh-Han
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06a
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    • pp.418-420
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    • 2006
  • 본 논문에서는 그리드 컴퓨팅 환경을 위한 동적 스케줄링 알고리즘을 웹 상에서 시뮬레이션 할 수 있는 그리드 스케줄링 시뮬레이션 플랫폼을 설계하고 구현하였다. 구현한 웹기반 동적 스케줄링 시뮬레이션 플랫폼은 자바 환경의 그리드 스케줄링 툴킷인 GridSim과 GridBroker를 수정하여 시뮬레이션 도구로 활용하였으며 자원 모델링, 작업 모델링, 알고리즘 컴파일을 웹 상에서 수행할 수 있다. 특히, 실시간 자원정보를 활용하는 동적 스케줄링 알고리즘을 지원함으로써 실제 그리드의 특성을 최대한 반영하였다. 구축한 플랫폼은 향후 그리드 연구에 기반구조로 활용될 수 있으며, 스케줄링 기법의 성능 분석을 위한 도구로 사용될 수 있다.

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Evaluation and Analysis of Scheduling Algorithms for Peak Power Reduction (전력 피크 감소를 위한 스케줄링 알고리즘의 성능 평가 및 분석)

  • Sung, Minyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2777-2783
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    • 2015
  • Peak power reduction is becoming increasingly important not only for grid operators but also for residential users. The scheduling of electric loads tries to reduce the power peak by splitting the power-on period of an electric device into multiple smaller ones and by interleaving the on-periods of every device in a holistic way. This paper analyzes the performance of EDF, LSF, TCBM, and lazy scheduling algorithms and proposes the enhancement schemes. For analysis, we have implemented the scheduling policies in a simulation environment for distributed control systems. Through extensive experiments using real power traces, we discuss their performance characteristics in terms of power deviation, switch count, and temperature violation ratio. To prevent excessive switching, we propose to employ the concept of limited preemptibility and evaluate its effect on performance. It is found that the best performance is achieved when the scheduler capacity is dynamically adjusted to the actual power demand. The experiment results show that, by load scheduling, the probability of having a power deviation greater than 150W is reduced from 21.5% down to 3.2%.

Analysis of Electricity Cost Saving Effect by the Optimal load shifting Operation with 1MWh Redox Flow Battery (1MWh급 레독스흐름전지의 부하이전용 최적운전에 따른 전기요금 절감효과 분석)

  • Baek, Ja-Hyun;Ko, Eun-Young;Kang, Tae-Hyuk;Lee, Han-Sang;Cho, Soo-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1151-1160
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    • 2016
  • In recent years, the energy storage systems such as LiB, NaS, RFB(Redox-Flow Battery), Super- capacitor, pumped hydro storage, flywheel, CAES(Compressed Air Energy Storage) and so on have received great attention as practical solutions for the power supply problems. They can be used for various purpose of peak shaving, load leveling and frequency regulation, according to the characteristics of each ESS(energy storage system). This paper will focus at 1 MWh RFB system, which is being developed through the original technology project of energy material. The output of ESS is mainly characterized by C-rate, which means that the total rated capacity of battery will be delivered in 1 hour. And it is a very important factor in the ESS operation scheduling. There can be several options according to the operation intervals 15, 30 and 60minutes. The operation scheduling is based on the optimization to minimize the daily electricity cost. This paper analyzes the cost-saving effects by the each operating time-interval in case that the RFB ESS is optimally scheduled for peak shaving and load leveling.