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Publications

Journal Articles | Conference Contributions

Journal Articles

Kai Hoth, Tom Steffen, Béla Wiegel, Amine Youssfi, Davood Babazadeh, Marcus Venzke, Christian Becker, Kathrin Fischer and Volker Turau. Holistic Simulation Approach for Optimal Operation of Smart Integrated Energy Systems under Consideration of Resilience, Economics and Sustainability. Infrastructures, 6(11), October 2021.
@Article{MDPI_CyEntEE_Simulation_Smart_Energy_System_2021, author = {Kai Hoth and Tom Steffen and Béla Wiegel and Amine Youssfi and Davood Babazadeh and Marcus Venzke and Christian Becker and Kathrin Fischer and Volker Turau}, title = {Holistic Simulation Approach for Optimal Operation of Smart Integrated Energy Systems under Consideration of Resilience, Economics and Sustainability}, pages = , journal = {Infrastructures}, volume = {6}, number = {11}, publisher = {MDPI}, month = oct, year = 2021, }
Abstract: The intermittent energy supply from distributed resources and the coupling of different energy and application sectors play an important role for future energy systems. Novel operational concepts require the use of widespread and reliable Information and Communication Technology (ICT). This paper presents the approach of a research project that focuses on the development of an innovative operational concept for a Smart Integrated Energy System (SIES), which consists of a physical architecture, ICT and energy management strategies. The cellular approach provides the architecture of the physical system in combination with Transactive Control (TC) as the system’s energy management framework. Independent dynamic models for each component, the physical and digital system, operational management and market are suggested and combined in a newly introduced co-simulation platform to create a holistic model of the integrated energy system. To verify the effectiveness of the operational concept, energy system scenarios are derived and evaluation criteria are suggested which can be employed to evaluate the future system operations.

Conference Contributions

Tom Steffen, Béla Wiegel, Davood Babazadeh, Amine Youssfi, Christian Becker and Volker Turau. Generation of Realistic Smart Meter Data from Prosumers for Future Energy System Scenarios. In Proceedings of Conference on Sustainable Energy Supply and Energy Storage Systems (NEIS 2022), VDE, September 2022. Hamburg, Germany.
@InProceedings{Telematik_neis_2022, author = {Tom Steffen and Béla Wiegel and Davood Babazadeh and Amine Youssfi and Christian Becker and Volker Turau}, title = {Generation of Realistic Smart Meter Data from Prosumers for Future Energy System Scenarios}, booktitle = {Proceedings of Conference on Sustainable Energy Supply and Energy Storage Systems (NEIS 2022)}, pages = , publisher = {VDE}, day = {26-27}, month = sep, year = 2022, location = {Hamburg, Germany}, }
Abstract: Future energy systems with high proportion of intermittent and distributed renewable generation need the coupling of the energy sectors electricity, gas and heat into an integrated energy system. In order to achieve supply safety for this novel system, advanced operational concepts will be required. These advanced algorithms, like for example integrated grid state identification and prognosis, require a high amount of data with a high temporal resolution for testing and evaluation. In German electrical energy systems, grid operators rely on the currently ongoing smart meter rollout for the purpose of data acquisition. Nevertheless, these large amounts of data are hard to obtain and are often restricted due to reasons of privacy. Furthermore, this data belongs to the actual grid situation and is therefore not identical to the data expected in future grid scenarios. In this paper, an approach to synthetically generate realistic future smart meter data is proposed. The household technologies and smart meter are modeled with the open-source TransiEnt Library for dynamic modeling of integrated energy systems. Furthermore, the models are tested and evaluated with real smart meter measurement data from different households in Lower Saxony.