Ringelstein, JanJanRingelsteinMarten, Frank BernhardFrank BernhardMartenVogt, MikeMikeVogtSchmidt-Banerjee, GourabGourabSchmidt-BanerjeeBao, JohannesJohannesBao2025-08-272025-08-272025-05-21https://publica.fraunhofer.de/handle/publica/494634As energy systems are digitized to maintain and improve security of supply with a high amount of fluctuating renewable generation, highly complex cyber-physical energy systems (CPES) arise. Holistic planning of these systems, including reliability and resilience analysis as well as investment decision support, needs tools for calculating and simulating energy and information networks and their interactions. The work at hand presents a novel Python-based open-source tool for modeling information networks called "pandaict". It is designed to be compatible with existing open-source tools for energy system modeling and is tested in a co-simulation in conjunction with those.enCommunicationCybersecurityCo-Simulationpresentation