Issue |
E3S Web Conf.
Volume 231, 2021
2020 2nd International Conference on Power, Energy and Electrical Engineering (PEEE 2020)
|
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Article Number | 01005 | |
Number of page(s) | 6 | |
Section | Power Engineering and Power Electronic Technology | |
DOI | https://doi.org/10.1051/e3sconf/202123101005 | |
Published online | 25 January 2021 |
Techno-Economic Assessment of Hydrogen Usage in a Smart Grid, Employing a Staggered Optimization Algorithm
1
Fraunhofer IPA – Center for Battery Cell Manufacturing, Stuttgart, Germany
2
University of Stuttgart – Electrical Energy Storage Systems, Stuttgart, Germany
* Corresponding author: mailto:friedrich-wilhelm.speckmann@ipa.fraunhofer.de
A sustainable energy economy implies high shares of volatile renewable energy sources and requires the use of energy storage technologies. Hydrogen is a very flexible energy carrier and can be employed as a large-scale energy storage in electric grids. This paper focuses on the integration of hydrogen production, conversion and storage options in a smart grid environment. A process current source (PCS) that functions as a rectifier for an alkaline electrolysis system and is compared to a conventional rectifier structure that is not specifically designed for dynamic operation. All components of the smart grid are scaled using a staggered algorithm that combines a pattern search algorithm and a genetic algorithm. This smart optimization tool shows high flexibility, accuracy and low computing times. The required computing time has been reduced by 56% in contrast to genetic algorithms without the pattern search method. Furthermore, the energy system optimization reduced the alkaline electrolysis below 30% of the initial scale in order to yield lower costs. Therefore, the difference in rectifier performance was reduced to a minor contribution.
Key words: Hydrogen Production / Rectifier / Smart Grid / Energy Conversion / Optimization Algorithm
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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