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Organizational Control Reconfigurations for a Robust Smart Power Grid

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Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 460))

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Abstract

Large-scale cyber-physical infrastructures, such as the Smart Power Grid, are envisioned as some of the core elements of the future Internet of Things. These critical infrastructures move more and more beyond centralized management and control by system operators and administrators. Overloading and failures in the Smart Power Grid threaten the matching of demand-supply especially when new emerging technologies are integrated such as micro-generation, renewable energy resources and electrical vehicles. The integration of these technologies in the Smart Power Grid make the concept of Internet of Things highly applicable in the energy domain. The introduction of automated and decentralized protection mechanisms requires embedded control elements that perform organizational reconfigurations themselves in a spatially distributed environment. The dynamic input and output binding between such control elements is an example of an organization reconfiguration that is traditionally managed offline during the design phase of a cyberphysical system. An introduced computational intelligence for the purpose of such organizational control reconfigurations requires the interoperation with the rest of the control logic during runtime. This book chapter illustrates a model that makes this interoperation possible: ALSOS-ICS, the Application-level Self-Organization Services for Internet-scale Control Systems. Four incremental protection levels for the robustness of the Smart Power Grid illustrate the requirements of organizational control reconfigurations and the applicability of ALSOS-ICS in this domain.

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Authors and Affiliations

  1. Section Systems Engineering, Delft University of Technology, Delft, The Netherlands

    Evangelos Pournaras & Martijn Warnier

  2. IBM Thomas J. Watson Research Center, Yorktown Heights, USA

    Mark Yao & Ron Ambrosio

Authors
  1. Evangelos Pournaras
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  2. Mark Yao
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  3. Ron Ambrosio
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  4. Martijn Warnier
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Corresponding author

Correspondence to Evangelos Pournaras .

Editor information

Editors and Affiliations

  1. , School Of Computer Science, University of Derby, Derby, DE22 1GB, United Kingdom

    Nik Bessis

  2. , Departament De Llenguatges I, Universitat Politècnica De Catalunya, C/Jordi Girona, Campus Nord, ed. Omega 1-3, Barcelona, 08034, Spain

    Fatos Xhafa

  3. School Of Electrical & Computer Engineer, Division Of Communication,, National Technical University Of Athens, Iroon Polytechniou 9, Athens, 15780, Greece

    Dora Varvarigou

  4. School Of Computer Science, and Mathematics, University of Derby, Kedleston Road, Derby, DE22 1GB, United Kingdom

    Richard Hill

  5. School Of Engineering And Design, Department Of Electronic And, Brunel University, Middlesex, Uxbridge, UB8 3PH, United Kingdom

    Maozhen Li

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Pournaras, E., Yao, M., Ambrosio, R., Warnier, M. (2013). Organizational Control Reconfigurations for a Robust Smart Power Grid. In: Bessis, N., Xhafa, F., Varvarigou, D., Hill, R., Li, M. (eds) Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence. Studies in Computational Intelligence, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34952-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-34952-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34951-5

  • Online ISBN: 978-3-642-34952-2

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