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Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks

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Book cover Intelligent Infrastructures

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 42))

Abstract

In this chapter, the operation and optimization of integrated electricity and natural gas systems is investigated. The couplings between these different infrastructures are modeled by the use of energy hubs. These serve as interface between the energy consumers on the one hand and the energy sources and transmission lines on the other hand. In previous work, we have applied a distributed control scheme to a static three-hub benchmark system, which did not involve any dynamics. In this chapter, we propose a scheme for distributed control of energy hubs that do include dynamics. The considered dynamics are caused by storage devices present in the multi-carrier system. For optimally incorporating these storage devices in the operation of the infrastructure, their capacity constraints and dynamics have to be taken into account explicitly. Therefore, we propose a distributed Model Predictive Control (MPC) scheme for improving the operation of the multi-carrier system by taking into account predicted behavior and operational constraints. Simulations in which the proposed scheme is applied to the three-hub benchmark system illustrate the potential of the approach.

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Author information

Authors and Affiliations

  1. ETH Zürich, Power Systems Laboratory, Zürich, Switzerland

    M. Arnold & G. Andersson

  2. Delft University of Technology, Delft Center for Systems and Control, Delft, The Netherlands

    R. R. Negenborn

  3. Delft University of Technology, Delft Center for Systems and Control & Marine and Transport Technology, Delft, The Netherlands

    B. De Schutter

Authors
  1. M. Arnold
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  2. R. R. Negenborn
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  3. G. Andersson
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  4. B. De Schutter
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Corresponding author

Correspondence to M. Arnold .

Editor information

Editors and Affiliations

  1. Faculty of Civil Engineering and, Geosciences, Delft University of Technology,, Stevinweg 1, Delft, 2628 CN, Netherlands

    Rudy R. Negenborn

  2. Fac. Technology, Policy & Management, Delft University of Technology, Delft, Netherlands

    Zofia Lukszo

  3. Fac. Mechanical, Maritime &, Materials Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628 CD, Netherlands

    Hans Hellendoorn

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Arnold, M., Negenborn, R.R., Andersson, G., De Schutter, B. (2010). Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks. In: Negenborn, R., Lukszo, Z., Hellendoorn, H. (eds) Intelligent Infrastructures. Intelligent Systems, Control and Automation: Science and Engineering, vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3598-1_10

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  • DOI: https://doi.org/10.1007/978-90-481-3598-1_10

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3597-4

  • Online ISBN: 978-90-481-3598-1

  • eBook Packages: EngineeringEngineering (R0)

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