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Homeostatic Control and the Smart Grid: Applying Lessons from Biology

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Optimization and Security Challenges in Smart Power Grids

Part of the book series: Energy Systems ((ENERGY))

Abstract

Electric power grids in this country and abroad are undergoing revolutionary changes through the increased integration of electric power generation, delivery and consumption with computation, communications, and cyber security. Emerging out of these activities is a smart grid that includes new technologies ranging from microgrids capable of islanded operation to wind power generation and electric vehicle supply. The success of this massive endeavor will depend on large measure on the development of control methodologies that maintain homeostasis in the face of natural stresses, malfunctions and deliberate attacks. The goal of this chapter is to sketch out possible control strategies for the future smart grid based upon insights into how living systems deal with these same issues. This is a broad topic and the particular focus here will be on presenting a simple model of control by neural and innate immune systems that could be applied to operational security at substations and microgrids.

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Authors and Affiliations

  1. Information Technology Division, Y-12 National Security Complex, Oak Ridge, TN, 37831, USA

    Martin Beckerman

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  1. Martin Beckerman
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Correspondence to Martin Beckerman .

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Editors and Affiliations

  1. Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Vijay Pappu

  2. Florida Institute of Technology, Melbourne, Florida, USA

    Marco Carvalho

  3. Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos Pardalos

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Beckerman, M. (2013). Homeostatic Control and the Smart Grid: Applying Lessons from Biology. In: Pappu, V., Carvalho, M., Pardalos, P. (eds) Optimization and Security Challenges in Smart Power Grids. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38134-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-38134-8_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38133-1

  • Online ISBN: 978-3-642-38134-8

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