Quality-functions for an uniform and comparable analysis of demand side management algorithms

Abstract

Due to renewable energies, the feed-in to the power grid will fluctuate increasingly. As long as no highly efficient storage technology is found, the importance of demand side management (DSM) will grow. Different algorithms have been proposed for managing the consumers. However, they cannot be easily compared due to a lot of different assumptions while generating the consumption curves and pursuing different goals in each DSM-algorithm. This paper describes a method to transparently generate a data-basis as input for the DSM-algorithms to produce comparable results. A number of quality-functions (Q-functions) are mathematically described and discussed. The Q-Functions allow a consistent evaluation of DSM-algorithms by analysing managed and unmanaged (original) consumption curves.

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Correspondence to Daniel Hölker.

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Hölker, D., Brettschneider, D., Fischer, M. et al. Quality-functions for an uniform and comparable analysis of demand side management algorithms. Comput Sci Res Dev 31, 57–64 (2016). https://doi.org/10.1007/s00450-014-0280-x

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Keywords

  • Load generation
  • Energy management
  • Load profile
  • Quality-functions
  • Appliances
  • Smart grid
  • Activation probabilities