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 DSMalgorithm. 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 DSMalgorithms by analysing managed and unmanaged (original) consumption curves.