Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Astrid Nieße"'
Autor:
Thomas Wolgast, Astrid Nieße
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100410- (2024)
To solve the optimal power flow (OPF) problem, reinforcement learning (RL) emerges as a promising new approach. However, the RL-OPF literature is strongly divided regarding the exact formulation of the OPF problem as an RL environment. In this work,
Externí odkaz:
https://doaj.org/article/03bb5d0bdd4e4326a65c8d3acdf7deb8
Autor:
Rico Schrage, Astrid Nieße
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-23 (2023)
Abstract The share and variants of coupling points (CPs) between different energy carrier networks (such as the gas or power grids) are increasing, which results in the necessity of the analysis of so-called multi-energy systems (MES). One approach i
Externí odkaz:
https://doaj.org/article/bdb7bb4ce5c0424ab98efb8f2bdb63a2
Publikováno v:
Energies, Vol 17, Iss 6, p 1374 (2024)
Water electrolysis to generate green hydrogen is the key to decarbonization. Tracking the state-of-health of electrolyzers is fundamental to ensuring their economical and safe operation. This paper addresses the challenge of quantifying the state-of-
Externí odkaz:
https://doaj.org/article/eb89e084900e4241ab320d15b13c65be
Autor:
Paul Hendrik Tiemann, Marvin Nebel-Wenner, Stefanie Holly, Emilie Frost, Adrian Jimenez Martinez, Astrid Nieße
Publikováno v:
Energy Informatics, Vol 5, Iss S1, Pp 1-13 (2022)
Abstract The multi-purpose usage of battery energy storage systems (BESSs) increases the exploitation of their flexibility potential. This can be further enhanced when a large number of small BESSs are combined into a swarm and marketed collectively
Externí odkaz:
https://doaj.org/article/b5058ab0698d4685ba5af62e82c50f9d
Autor:
Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101484- (2023)
The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-driven attacks that endanger system stability. To ensure security-of-sup
Externí odkaz:
https://doaj.org/article/575c7a8065a1443eaf13960bb43138d7
Autor:
Jonathan Brandt, Emilie Frost, Stephan Ferenz, Paul Hendrik Tiemann, Astrid Bensmann, Richard Hanke-Rauschenbach, Astrid Nieße
Publikováno v:
Energy Informatics, Vol 5, Iss 1, Pp 1-26 (2022)
Abstract Using aggregated flexibility from distributed small-scale power devices is an extensively discussed approach to meet the challenges in modern and increasingly stochastic energy systems. It is crucial to be able to model and map the flexibili
Externí odkaz:
https://doaj.org/article/4b8dc4b00a004155958db8001a213a8a
Publikováno v:
Energy Informatics, Vol 5, Iss 1, Pp 1-25 (2022)
Abstract The shift from conventional power plants on transmission level to distributed energy resources in the distribution grids requires procedures to enable efficient and economic reactive power exchange across different voltage levels. In this pa
Externí odkaz:
https://doaj.org/article/25fc745c7f55427ea195595e8748a374
Publikováno v:
Energy Informatics, Vol 4, Iss S3, Pp 1-20 (2021)
Abstract Future smart grids can and will be subject of systematic attacks that can result in monetary costs and reduced system stability. These attacks are not necessarily malicious, but can be economically motivated as well. Emerging flexibility mar
Externí odkaz:
https://doaj.org/article/0eb4927ee25f4dad96da9beeebe02366
Autor:
Torge Wolff, Astrid Nieße
Publikováno v:
Energies, Vol 16, Iss 17, p 6289 (2023)
The future power system will be characterized by many small decentralized power plants—so-called distributed energy resources (DERs). The integration of these DERs is vital from an economic and grid operation point of view. One approach to this is
Externí odkaz:
https://doaj.org/article/295cd1dbee1245f8984f1aabed37ea60
Publikováno v:
Energy Informatics, Vol 6, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/fa2bfc28442d4273ac3060f1337f99a5