Frost E, Halikulov N, Seiwerth C (2025)
Publication Type: Other publication type, Deliverable
Publication year: 2025
URI: https://doi.org/10.5281/zenodo.15746158
Open Access Link: https://doi.org/10.5281/zenodo.15746158
Due to the increasing importance of renewable energies in Cyber‐Physical Energy Systems (CPES), the interaction and coordination between all distributed instances is essential to efficiently manage the high volatility of generation and grid congestions at all grid levels. To simulate the distributed energy system, all instances need to be considered, such as Distributed Energy Resources (DER) simulators, agent simulators, and communication simulators. The delivery of flexibility must be considered from multiple grid levels, including lower voltage levels, as for redispatch based on market principles. In this context, the aggregation of flexibility is essential as well. Self‐organization using autonomous agents within automation systems is key to adaptive and self‐healing systems. Self‐healing Multi‐Agent System (MAS) can be applied to fulfill optimization within the grid while considering redispatch demands. As the communication infrastructure affects the system, for example by delays or packet drops, the functionality of the system needs to be ensured considering communication effects. Thus, research regarding the implementation of a distributed simulation for distributed energy systems covers multiple aspects, such as the coupling of simulators, self‐healing aspects, effects from the communication infrastructure, flexibility delivery, and aggregation. The primary objective of this deliverable is to collect requirements for the simulation in this use case, covering all relevant aspects as listed above.
APA:
Frost, E., Halikulov, N., & Seiwerth, C. (2025). D6.3.2.1 Requirements for implementation of distributed simulation for distributed energy systems.
MLA:
Frost, Emilie, Nurbek Halikulov, and Corinna Seiwerth. D6.3.2.1 Requirements for implementation of distributed simulation for distributed energy systems. 2025.
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