Electrical Engineering

, Volume 98, Issue 4, pp 335–340 | Cite as

The cellular approach: smart energy region Wunsiedel. Testbed for smart grid, smart metering and smart home solutions

  • Gerhard Kleineidam
  • Marco Krasser
  • Markus Reischböck
Original Paper


The ongoing transition from a conventional energy supply towards an energy system based on renewable sources requires fundamental changes to the energy infrastructure. In particular, the move from centralized towards distributed power generation significantly increases the demand for ICT-based management and control. Today ICT-based energy management is mostly purely central, making the critical infrastructure of power supply sometimes inflexible and potentially vulnerable to (cyber-)attacks. Addressing these challenges, the future grid requires high automation and distributed intelligence on field level being able to work independently from a central system. Distribution grids are often sparsely monitored and a system wide upgrade of measuring technology is associated with high costs. However, information about load behavior at the nodes of a grid is essential for grid state identification and load forecasting. This paper shows the concept of load balancing and the related IT architecture for monitoring and control of distributed energy systems, where smart metering and smart home technologies play a key role in the smart grid of the future. Readers are invited to contribute to the research work and field laboratory of the University of Bayreuth, which is operated by an innovative utility company in Bavaria.


Smart grid Smart home Smart metering Distributed energy systems Field test Automation SCADA Renewable energy generation Energy management Energy distribution Energy storage Load shifting Load balancing IoT Industry 4.0 


  1. 1.
    VDE Study, Speh R et al (2015) The cellular approach, publication of VDE/ETG (Association for Electrical, Electronic and Information Technologies), MunichGoogle Scholar
  2. 2.
    Franke J, Ehmann B, Kleineidam G (2012) Smart grid requirements and expectations from a future home perspective. In: IEEE international conference on smart grid technology, economics and policies (SG-TEP), NurembergGoogle Scholar
  3. 3.
    EnBW Report, Wiechmann H et al (2015) Modellversuch Flexibler Wärmestrom, EnBW final project documentation, KarlsruheGoogle Scholar
  4. 4.
    Handschin E, Rehtanz C, Wedde HF, Krause O, Lehnhoff S (2008) On-line stable state determination in decentralized power grid management, 16th PSCC, GlasgowGoogle Scholar
  5. 5.
    Wedde HF, Lehnhoff S, Rehtanz C, Krause O (2008) Bottom-up self-organization of unpredictable demand and supply under decentralized power management. In: Second IEEE international conference on self-adaptive and self-organizing systems, VeniceGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Universität Bayreuth, ZET Zentrum für EnergietechnikBayreuthGermany
  2. 2.SWW Wunsiedel GmbHWunsiedelGermany
  3. 3.Siemens AGNurembergGermany

Personalised recommendations