Uni.-Prof. Martin Braun - Forschungsinformationssystem | Universität Kassel - CONVERIS Forschungsinformationsystem

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Prof. Dr.-Ing. Martin Braun

Projektbeteiligungen

01/2020 - 12/2022	North Seas Offshore Network II - Kosteneffiziente Anbindung und internationale Integration von Offshore Windenergie in der Nordsee: Optimierungsmethoden und -werkzeuge
01/2015 - 12/2017	Probabilistische innovative Methoden in der Energiesystemtechnik

Publikationen

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2021	Schön, A., Ringelstein, J., Hammermeister, I., Braun, M., Wille-Haussmann, B., Marchand, S., Ruhe, S., Nicolai, S., 2021. Testing Automated Operation and Control Algorithms for Distribution Grids Using a Co-simulation Environment, in: ETG (Hrsg.), ETG Congress 2021. VDE, S. 1–6.
2021	Loeser, I., Braun, M., Gruhl, C., Menke, J.-H., Sick, B., Tomforde, S., 2021. Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. ArXiv e-prints TBD. https://doi.org/10.48550/arXiv.2112.07507
2020	Liu, Z., Wende-von Berg, S., Banerjee, G., Bornhorst, N., Kerber, T., Maurus, A., Braun, M., 2020. Adaptives statisches Netzäquivalent mit künstlichen neuronalen Netzen, in: Institut für Elektrizitätswirtschaft und Energieinnovation (Hrsg.), 16. SYMPOSIUM ENERGIEINNOVATION. S. 1–11.
2020	Kisse, J., Braun, M., Letzgus, S., Kneiske, T., 2020. A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios. Energies 13, TBD. https://doi.org/10.3390/en13164052
2020	Liu, Z., Bornhorst, N., Wende-von Berg, S., Braun, M., 2020. A grid equivalent based on artificial neural networks in power systems with high penetration of distributed generation with reactive power control, in: NEIS (Hrsg.), NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems. VDE, S. 1–7.
2020	Schafer, F., Scheidler, A., Braun, M., 2020. A Hybrid Optimization Method Combining Network Expansion Planning and Switching State Optimization. IEEE Open Access Journal of Power and Energy 7, 234–242. https://doi.org/10.1109/OAJPE.2020.3006344
2020	Then, D., Hein, P., Kneiske, T., Braun, M., 2020. Analysis of Dependencies between Gas and Electricity Distribution Grid Planning and Building Energy Retrofit Decisions. Sustainability 12, TBD. https://doi.org/10.3390/su12135315
2020	Menke, J.-H., Dipp, M., Liu, Z., Ma, C., Schäfer, F., Braun, M., 2020. Applications of Artificial Neural Networks in the Context of Power Systems, in: Sayed-Mouchaweh, M. (Hrsg.), Artificial Intelligence Techniques for a Scalable Energy Transition. Springer International Publishing, Cham, S. 345–373. https://doi.org/10.1007/978-3-030-42726-9_13
2020	Braun, M., Hachmann, C., Haack, J., 2020. Blackouts, Restoration, and Islanding: A System Resilience Perspective. IEEE Power and Energy Magazine 18, 54–63. https://doi.org/10.1109/MPE.2020.2986659
2020	Schafer, F., Menke, J.-H., Braun, M., 2020. Comparison of Meta-Heuristics for the Planning of Meshed Power Systems, in: IEEE (Hrsg.), 2020 6th IEEE International Energy Conference (ENERGYCon). IEEE, S. 592–597. https://doi.org/10.1109/ENERGYCon48941.2020.9236486