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Shaping aggregated load profiles based on optimized local scheduling of home appliances

  • Christoph Hunziker
  • Nicola Schulz
  • Holger Wache
Special Issue Paper
  • 223 Downloads

Abstract

We present a new method to control an aggregated electric load profile by exploiting the flexibilities provided by residential homes. The method is based on a common energy price combined with inclining block rates, broadcasted to all households allowing them to minimize their energy provisioning cost. The distributed home energy management systems receive the price signal and use mixed integer linear programming for optimal scheduling of load, storage, and generation devices. The method provides excellent scalability as well as autonomy for home owners and avoids load synchronization effects. As proof of concept, an optimization algorithm for determining a day-ahead price is applied in two case studies. An excellent conformance between a given reference load profile and the resulting aggregated load profile of all households is demonstrated.

Keywords

HEMS Real-time price Inclining block rates Demand response Distributed load management MILP 

Notes

Acknowledgements

This work has been supported by the Strategic Initiative ‘Energy Chance’ funded by the University of Applied Sciences Northwestern Switzerland.

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Christoph Hunziker
    • 1
  • Nicola Schulz
    • 1
  • Holger Wache
    • 2
  1. 1.School of EngineeringUniversity of Applied Sciences Northwestern SwitzerlandWindischSwitzerland
  2. 2.School of BusinessUniversity of Applied Sciences Northwestern SwitzerlandWindischSwitzerland

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