Coping with the complexity of future energy grids and the rising challenges of the energy transition to more renewable energy sources (RES), an Energy Hub Gas (EHG) concept appears to be a promising approach. This concept combines various technical components to a sector-coupling system network to support the electricity grid with ancillary and balancing services to cope with the fluctuating generation by RES and to provide (renewable) energy carriers. Additionally, the EHG serves as regional gateway and as a converter for large, centralized RES-feed-in and aggregation/distribution hub of local RES-feed-in. For combining several separate models from different domains to an EHG system model, a co-simulation approach is used with high regard on flexibility concerning the modelling aspects as well as high modularity to easily adapt the concept to further use cases. As main results presented in the paper, the coherence of the extended EHG system model and its usability for implementation in co-simulation can be shown in first simulations.

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Cited By

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Grafenhorst SDemirel GFörderer KHagenmeyer V(2024)Grid Aware Portfolio Optimization of a Multi-Energy DER2024 IEEE Sustainable Power and Energy Conference (iSPEC)10.1109/iSPEC59716.2024.10892444(245-250)Online publication date: 24-Nov-2024
https://doi.org/10.1109/iSPEC59716.2024.10892444
Poppenborg RPhipps KBeichter MFörderer KMikut RHagenmeyer V(2024)Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub SchedulingEnergy Informatics10.1007/978-3-031-74741-0_14(205-223)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1007/978-3-031-74741-0_14
Poppenborg RChlosta MRuf JHotz CDüpmeier CKolb THagenmeyer V(2023)Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers ProvisionEnergies10.3390/en1606272016:6(2720)Online publication date: 14-Mar-2023
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Index Terms

Energy hub gas: a multi-domain system modelling and co-simulation approach
1. Hardware
  1. Power and energy
    1. Energy distribution
      1. Power conversion
      2. Smart grid
    2. Energy generation and storage
      1. Renewable energy

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MSCPES '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems

May 2021

83 pages

ISBN:9781450386081

DOI:10.1145/3470481

General Chairs:
Peter Palensky
TU Delft
,
Anurag Srivastava
Washington State University
,
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Edmund Widl
AIT Austrian Institute of Technology

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Published: 06 October 2021

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Grafenhorst SDemirel GFörderer KHagenmeyer V(2024)Grid Aware Portfolio Optimization of a Multi-Energy DER2024 IEEE Sustainable Power and Energy Conference (iSPEC)10.1109/iSPEC59716.2024.10892444(245-250)Online publication date: 24-Nov-2024
https://doi.org/10.1109/iSPEC59716.2024.10892444
Poppenborg RPhipps KBeichter MFörderer KMikut RHagenmeyer V(2024)Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub SchedulingEnergy Informatics10.1007/978-3-031-74741-0_14(205-223)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1007/978-3-031-74741-0_14
Poppenborg RChlosta MRuf JHotz CDüpmeier CKolb THagenmeyer V(2023)Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers ProvisionEnergies10.3390/en1606272016:6(2720)Online publication date: 14-Mar-2023
https://doi.org/10.3390/en16062720
Poppenborg RBeisswanger KHotz CFörderer KKolb THagenmeyer V(2023)Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)10.1109/SEGE59172.2023.10274571(206-211)Online publication date: 13-Aug-2023
https://doi.org/10.1109/SEGE59172.2023.10274571
Mehlmann GKühnapfel UWege FWinkens AScheibe CVogel SNoglik PGratza MRichter JWeber MBurlakin IKuri AWagner THubschneider SPoppenborg RHeins TFörderer KUlbig AMonti AHagenmeyer VLuther M(2023)The Kopernikus ENSURE Co-Demonstration PlatformIEEE Open Journal of Power Electronics10.1109/OJPEL.2023.33325154(987-1002)Online publication date: 2023
https://doi.org/10.1109/OJPEL.2023.3332515
Chlosta MLiu JPoppenborg RLutz RFörderer KSchlachter THagenmeyer V(2022)An adapter-based architecture for evaluating candidate solutions in energy system schedulingEnergy Informatics10.1186/s42162-022-00246-z5:S4Online publication date: 21-Dec-2022
https://doi.org/10.1186/s42162-022-00246-z
Poppenborg RChlosta MRuf JHotz CDupmeier CKolb THagenmeyer V(2022)Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE)10.1109/SEGE55279.2022.9889751(33-41)Online publication date: 10-Aug-2022
https://doi.org/10.1109/SEGE55279.2022.9889751
Poppenborg RKhalloof HChlosta MHofferberth TDüpmeier CHagenmeyer V(2022)Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying ResolutionIntelligent Data Engineering and Automated Learning – IDEAL 202210.1007/978-3-031-21753-1_50(513-524)Online publication date: 24-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-21753-1_50

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