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High Performance Computing in Power and Energy Systems pp 101–149Cite as

A MAS-Based Cluster Computing Platform for Modern EMS

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Part of the book series: Power Systems ((POWSYS))

Abstract

To meet the requirement of dispatch and control in Smart Grid environment, a MAS-Based cluster computing platform is developed for modern Energy Management System(EMS). Multi-Agent technology is used to develop the high-performance computing platform. “Double-Dimensional Federal Architecture” is proposed and used to implement the advanced application software of modern EMS. A middleware named “WLGrid” is implemented to simplify software development and to integrate distributed computers in Electric Power Control Center(EPCC) into a “Super Computer”. Methods of “Task Partition”, “Concurrent Dispatching Strategy”, “Dynamic Load Balancing” and “Priority-based Resource Allocation” are introduced to accelerate the computation and to improve the real-time property of the whole system. Onsite tests are done and the results are reported to show the effectiveness of these methods.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China

    Boming Zhang & Wenchuan Wu

  2. School of Electrical Engineering & Computer Science, Washington State University, PO Box 642752, Pullman, Washington, USA

    Chuanlin Zhao

Authors
  1. Boming Zhang
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  2. Wenchuan Wu
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  3. Chuanlin Zhao
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Corresponding author

Correspondence to Boming Zhang .

Editor information

Editors and Affiliations

  1. , Department of Electrical and Computer En, Iowa State University, Post-Doctoral Res, Coover Hall 1113, Ames, 50011, USA

    Siddhartha Kumar Khaitan

  2. , Business Analytics & Mathematical Scienc, IBM T.J. Watson Research Center, Kitchawan Road / Route 134 1101, Yorktown Heights, 10598, USA

    Anshul Gupta

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, B., Wu, W., Zhao, C. (2013). A MAS-Based Cluster Computing Platform for Modern EMS. In: Khaitan, S., Gupta, A. (eds) High Performance Computing in Power and Energy Systems. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32683-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-32683-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32682-0

  • Online ISBN: 978-3-642-32683-7

  • eBook Packages: EnergyEnergy (R0)

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