Fraunhofer-Institut für Windenergie und Energiesystemtechnik (IWES)

Publikationen

1 von 9

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2021	Wang, H., Kraiczy, M., Mende, D., Stöcklein, S., Braun, M., 2021. Application-Oriented Reactive Power Management in German Distribution Systems Using Decentralized Energy Resources. Energies 14, 4949. https://doi.org/10.3390/en14164949
2021	Kraiczy, M., Altayara, A., Wenderoth, F., Winter, K., Hofbauer, P., Meilinger, S., Braun, M., 2021. Benefits of advanced PV power forecasts for congestion management and reactive power management at the distribution level, in: VDE (Hrsg.), ETG Congress 2021. S. 1–6.
2021	Wang, Z., Liu, Z., Kraiczy, M., Bornhorst, N., Wende - von Berg, S., Braun, M., 2021. Fast parallel quasi-static time series simulator for active distribution grid operation with pandapower, in: CIRED (Hrsg.), CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology, S. 1602–1606. https://doi.org/10.1049/icp.2021.1540
2021	Liu, Z., Wang, Z., Bornhorst, N., Kraiczy, M., Wende-von Berg, S., Kerber, T., Braun, M., 2021. Optimized Characteristic-Curve-Based Local Reactive Power Control in Distribution Grids with Distributed Generators, in: ETG (Hrsg.), ETG Congress 2021. VDE, S. 1–6.
2021	Altayara, A., Kraiczy, M., Wenderoth, F., Winter, K., Hofbauer, P., Meilinger, S., Braun, M., 2021. Techno-economic assessment of PV forecast accuracy for predictive congestion management in an active distribution network, in: CIRED (Hrsg.), CIRED 2021. S. TBD.
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	Gauglitz, P., Ulffers, J., Thomsen, G., Frischmuth, F., Geiger, D., Bonin, M., Horst, D., Scheidler, A., 2020. Modeling spatial and temporal charging demands for electric vehicles for scenarios with an increasing share of renewable energies. https://doi.org/10.5194/egusphere-egu2020-7231
2020	Jager-Waldau, A., Adinolfi, G., Batlle, A., Bucher, C., Braun, M., Detollenaere, A., Frederiksen, K.B., Graditi, G., Lemus, R., Lindahl, J., Heilscher, G., Kraiczy, M., Masson, G., Mather, B., Mayr, C., Moneta, D., Mugnier, D., Nikoletatos, J., Neubourg, G., Platt, G., Reinders, A., Roberts, M., Ueda, Y., 2020. Self-consumption of electricity produced with photovoltaic systems in apartment buildings - Update of the situation in various IEA PVPS countries, in: IEEE (Hrsg.), 2020 47th IEEE Photovoltaic Specialists Conference (PVSC). IEEE, S. 938–950. https://doi.org/10.1109/PVSC45281.2020.9300442
2019	Ma, C., Drauz, S.R., Bolgaryn, R., Menke, J.-H., Schäfer, F., Dasenbrock, J., Braun, M., 2019. A comprehensive study for evaluation of the energy losses in distribution systems with high penetration of distributed generations, in: CIRED (Hrsg.), CIRED 2019. AIM, S. TBD. https://doi.org/10.34890/835
2019	Ma, C., Dasenbrock, J., Töbermann, J.-C., Braun, M., 2019. A novel indicator for evaluation of the impact of distributed generations on the energy losses of low voltage distribution grids. Applied Energy 242, 674–683. https://doi.org/10.1016/j.apenergy.2019.03.090