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Distributed Design of Smart Grids for Large-Scalability and Evolution

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Smart Grid Control

Part of the book series: Power Electronics and Power Systems ((PEPS))

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Abstract

Due to the massive complexity and organizational differences of future power grids, the notion of distributed design becomes more significant in a near future. The distributed design is a new notion of system design in which we individually design local subsystems and independently connect each of them to a preexisting system. In this article, we discuss challenges and opportunities for solving problems of the distributed design of smart grids so that they are flexible to incorporate regional and organizational differences, resilient to undesirable incidents, and able to facilitate addition and modifications of grid components.

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Acknowledgements

This work was supported by JST CREST Grant Number JPMJCR15K1, Japan.

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Authors and Affiliations

  1. Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, and Japan Science and Technology Agency, CREST, Tokyo, Japan

    Tomonori Sadamoto, Takayuki Ishizaki & Jun-ichi Imura

Authors
  1. Tomonori Sadamoto
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  2. Takayuki Ishizaki
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  3. Jun-ichi Imura
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Corresponding authors

Correspondence to Tomonori Sadamoto or Jun-ichi Imura .

Editor information

Editors and Affiliations

  1. Department of Electronic Systems, Aalborg University, Aalborg, Denmark

    Jakob Stoustrup

  2. Department of Mechanical Engineering, MIT, Cambridge, MA, USA

    Anuradha Annaswamy

  3. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

    Aranya Chakrabortty

  4. Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA

    Zhihua Qu

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Sadamoto, T., Ishizaki, T., Imura, Ji. (2019). Distributed Design of Smart Grids for Large-Scalability and Evolution. In: Stoustrup, J., Annaswamy, A., Chakrabortty, A., Qu, Z. (eds) Smart Grid Control. Power Electronics and Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98310-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-98310-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98309-7

  • Online ISBN: 978-3-319-98310-3

  • eBook Packages: EnergyEnergy (R0)

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