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Load Management in Power Grids

Author

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  • Cornelius Köpp
  • Hans-Jörg Mettenheim
  • Michael Breitner

Abstract

Decentralized renewable energy sources become more and more common. This leads to stability problems in power grids. Conventional energy sources are easy to control. In contrast, wind and solar power are much more difficult to forecast. Forecasts are only possible short term and are more imprecise. Producers and consumers of energy can try to help reducing stability problems. Contributions towards a decision support system are proposed and recommend how to alter the behavior of producers and consumers. On the producer side centrally controlled heat and power plants are able to shift load in a virtual power plant. The plant operator offers a load curve based on forecasts. The centrally controlled heat and power plants help to mitigate the effect of revised forecasts. An incentive based control on the consumer side is also proposed. Smart appliances react to pricing information. They alter their execution window towards the cheapest time slot, if possible. The exact behavior of appliances in the expected field experiment is still partially unknown. It is necessary to simulate the behavior of these appliances and to train an artificial neural network. The artificial neural network allows computing the pricing signal leading to a desired load shift. Copyright Springer Fachmedien Wiesbaden 2013

Suggested Citation

  • Cornelius Köpp & Hans-Jörg Mettenheim & Michael Breitner, 2013. "Load Management in Power Grids," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(1), pages 35-44, February.
    • Handle: RePEc:spr:binfse:v:5:y:2013:i:1:p:35-44
    DOI: 10.1007/s12599-012-0246-0
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    Cited by:

    1. Arno E. Scheepens & Joost G. Vogtländer, 2018. "Insulation or Smart Temperature Control for Domestic Heating: A Combined Analysis of the Costs, the Eco-Costs, the Customer Perceived Value, and the Rebound Effect of Energy Saving," Sustainability, MDPI, vol. 10(9), pages 1-24, September.

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