Effects of Constraints in Residential Demand-Side-Management Algorithms—A Simulation-Based Study

Dennis Behrens (), Cornelius Rüther, Thorsten Schoormann, Thimo Hachmeister, Klaus Ambrosi and Ralf Knackstedt
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Dennis Behrens: University of Hildesheim
Cornelius Rüther: University of Hildesheim
Thorsten Schoormann: University of Hildesheim
Thimo Hachmeister: University of Hildesheim
Klaus Ambrosi: University of Hildesheim
Ralf Knackstedt: University of Hildesheim

A chapter in Operations Research Proceedings 2017, 2018, pp 253-259 from Springer

Abstract: Abstract Due to various challenges such as climatic changes or implementation of renewable energy generation, improvements in regulating energy grids are required. Demand-Side-Management (DSM) contributes to this progress by managing, shifting and controlling loads. However, many DSM algorithms make assumptions regarding load characteristics which do not consider real world conditions. Prior studies find a total of five constraints but so far no investigation shows the effects of these constraints on DSM algorithms. Hence, this research analyses the effects of several constraints of DSM algorithms by conducting a simulation. As a result, we can conclude that the constraints have an effect on the results. For example, the savings dropped about 7% when considering multiple constraints. The handling and the outcomes depend on several factors and might vary. As a logical conclusion, we postulate that these constraints should be considered in DSM algorithms.

Keywords: Demand-Side-Management(-Algorithms); Constraints; Residential Context; Simulation (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-89920-6_35

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