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Wide-Area Control of Power Systems

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Encyclopedia of Systems and Control

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Abstract

This chapter discusses the problem of wide-area control (WAC) for large-scale power transmission systems. The discussion covers two main applications, namely, wide-area oscillation damping control and wide-area voltage control. Scalable control methods are reported for both applications, highlighting important challenges in design, implementation, and computational complexity. This is followed by two newly evolving control paradigms, namely, sparsity-promoting WAC and online learning-based WAC. The first design reduces the cost and complexity of data communication by imposing structural constraints on the controller. The second design transitions conventional model-based WAC to a data-driven approach by employing system identification and real-time control actions. The chapter ends with a list of open problems and future research directions in this research area including the need for efficient cyber-physical architectures, cyber-security, machine learning, and game theory for WAC.

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Author information

Authors and Affiliations

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

    Aranya Chakrabortty

Authors
  1. Aranya Chakrabortty
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Corresponding author

Correspondence to Aranya Chakrabortty .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Electrical & Computer Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

    Joe Chow

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Chakrabortty, A. (2020). Wide-Area Control of Power Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100125-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100125-1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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