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Techno-Economic Assessment of Hydrogen Usage in a Smart Grid, Employing a Staggered Optimization Algorithm

: Speckmann, Friedrich-Wilhelm; Weeber, Max; Birke, Kai Peter

Volltext ()

Malik, O.P.:
2nd International Conference on Power, Energy and Electrical Engineering, PEEE 2020 : Copenhagen, Denmark, December 4-6, 2020
Les Ulis: EDP Sciences, 2021 (E3S Web of Conferences 231)
Art. 01005, 6 S.
International Conference on Power, Energy and Electrical Engineering (PEEE) <2, 2020, Online>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Biologische Wasserstoffgewinnung; Algorithmus; Gleichrichter; smart grid

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.