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Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids

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Smart Cities, Green Technologies, and Intelligent Transport Systems (SMARTGREENS 2017, VEHITS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 921))

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Abstract

In future electric distribution networks, demand flexibility offered by controllable loads will play a key role for the effective transition towards the smart grids. Electric heat pumps are flexible loads whose operation can be controlled, to some extent, to foster the efficient operation of the distribution grids. This paper presents an optimization algorithm that defines a smart day-ahead scheduling of electric heat pumps aimed at achieving power peak shaving in the distribution grid, while providing customers with the desired thermal comfort over the day. The proposed optimization relies upon a Mixed Integer Linear Programming approach and allows defining both the time schedule and the operating points of the heat pump, guaranteeing an energy efficient solution for the customers. Performed tests show the benefits achievable by means of the proposed optimal scheduling both at the distribution grid level and at the customer side, proving the goodness of the conceived solution.

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Authors and Affiliations

  1. Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Mathieustrasse 10, 52074, Aachen, Germany

    Marco Pau, Ferdinanda Ponci & Antonello Monti

  2. Department of Electrical and Electronic Engineering, Imperial College, London, UK

    Jochen Lorenz Cremer

Authors
  1. Marco Pau
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  2. Jochen Lorenz Cremer
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  3. Ferdinanda Ponci
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  4. Antonello Monti
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Corresponding author

Correspondence to Marco Pau .

Editor information

Editors and Affiliations

  1. Innovation Value Institute, National University of Ireland, Maynooth, Maynooth, Ireland

    Brian Donnellan

  2. Siemens Corporate Technology, Munich, Germany

    Cornel Klein

  3. School of Computing, Dublin City University, Dublin, Ireland

    Markus Helfert

  4. Ford Research and Advanced Engineering, Dearborn, MI, USA

    Oleg Gusikhin

  5. University of Lisbon, Lisbon, Portugal

    António Pascoal

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Pau, M., Cremer, J.L., Ponci, F., Monti, A. (2019). Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids. In: Donnellan, B., Klein, C., Helfert, M., Gusikhin, O., Pascoal, A. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2017 2017. Communications in Computer and Information Science, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-02907-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-02907-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02906-7

  • Online ISBN: 978-3-030-02907-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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