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it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Conrad, Stefan

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Volume 59, Issue 1


Evolutionary optimization under uncertainty in energy management systems

Jan Müller
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  • Karlsruhe Institute of Technology, Institute of Applied Informatics and Formal Description Methods, 76131 Karlsruhe Germany
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Published Online: 2016-12-08 | DOI: https://doi.org/10.1515/itit-2016-0055


To support the utilization of renewable energies, an optimized operation of energy systems is important. In recent years, many different optimization methods have been used in this field, including exact solvers and metaheuristics. Quite often, evolutionary algorithms yield good optimization results and allow for a flexible formulation of the optimization problem. Nevertheless, most approaches do not respect the dynamic nature of energy systems with time-dependent properties and stochastic variations. In this work, typical uncertainties are categorized and appropriate measures that help handling uncertainties in energy systems are presented and evaluated using an implementation of a building energy management system that may be used in simulation and practical application.

Keywords: Energy management; storage systems; evolutionary algorithm; stochastic optimization; optimization under uncertainty

ACM CCS: Applied computing →Physical sciences and engineering; Theory of computation →Design and analysis of algorithms →Mathematical optimization →Discrete optimization →Optimization with randomized search heuristics →Evolutionary algorithms

About the article

Jan Müller

Jan Müller received his Dipl.-Phys. from the Karlsruhe Institute of Technology (KIT) in Karlsruhe, Germany. He majored in data analysis in experimental particle physics. In 2014, he joined the research group for efficient algorithms at the Institute for Applied Informatics and Formal Description Methods (AIFB) at the KIT. His research is focusing on optimization methods in energy systems and in particular on the integration of storage systems.

Karlsruhe Institute of Technology, Institute of Applied Informatics and Formal Description Methods, 76131 Karlsruhe, Germany

Accepted: 2016-11-15

Received: 2016-11-09

Published Online: 2016-12-08

Published in Print: 2017-02-20

Citation Information: it - Information Technology, Volume 59, Issue 1, Pages 23–29, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2016-0055.

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