Foto von Katrin Schulte

Katrin Schulte

M.Eng.
Kontakt
Raum D 433
Telefon +49.521.106-70839
katrin.schulte@hsbi.de
Aufgabenbeschreibung
Publikationen

2024


M. Gurcke, M. Cziomer, K. Schulte and J. Haubrock, "Grid-Assistive Use of Private Battery Energy Storage Systems based on Fuzzy Logic, " 4th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion – MED POWER 2024, Athens, Greece, 2024.


K. Schulte, L. Engel, L. Quakernack, F. Liegmann and J. Haubrock, "A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast," 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024.


F. Liegmann, K. Schulte, F. Annen, J. Haubrock, M. Kelker, S. Joseph, S. Raczka and C. Rehtanz, "Concept of a test bench for research into automatic resupply to improve the resilience of critical infrastructure," 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024.


L. Quakernack, M. Gurcke, K. Schulte and J. Haubrock, "Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic," 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024.


J. Dresselhaus, K. Schulte, K. Handel, J. Haubrock and J. Arens, "Potential of battery energy storage systems to avoid grid expansion in the low-voltage grid," IEEE Power and Energy Student Summit PESS, Dresden, Germany, 2024.


K. Handel, A. Ebenezer Anitha, R. Rigo-Mariani, K. Schulte and J. Haubrock, "Optimal decision tree design for near real-time control of battery energy storage systems," 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2024), Timișoara, Romania, 2024.



2023


K. Schulte, K. Handel und J. Haubrock, "Netzdienliche Steuerung von verteilten Batteriespeichern in einem Verteilnetz mit einem hohen Anteil an Photovoltaikanlagen für eine Reduzierung der Rückspeisung," ETG CIRED Workshop 2023 (D-A-CH), München, Deutschland, 2023.


K. Schulte, L. Engel, L. Quakernack and J. Haubrock, "Optimized photovoltaic power forecast using k-means clustering based error reduction," 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1-5, doi: 10.1109/ISGTEUROPE56780.2023.10407521.


K. Handel, K. Schulte, R. Rigo-Mariani, J. Haubrock and J. Arens, "Control of distributed energy storage systems for minimum reverse flow in a distribution grid with high share of photovoltaic," 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1-5, doi: 10.1109/ISGTEUROPE56780.2023.10408443.


T. Jungh, B. Steinhagen, M. Hesse and K. Schulte, "Comparison of Different Machine Learning Models for Short-Term Load Forecasting at Transformer Level with High Amounts of Photovoltaic Generation," 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1-5, doi: 10.1109/ISGTEUROPE56780.2023.10407216.



2021


K. Schulte, O. Runde, M. Kelker and J. Haubrock, "Prediction of the local cloud cover to optimize photovoltaic system power forecast," 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland, 2021, pp. 01-05, doi: 10.1109/ISGTEurope52324.2021.9640074.


M. Schwienheer, K. Schulte, K. Kröger and J. Haubrock, "Realization of a power distributing electric vehicle charging system," NEIS 2021; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, Germany, 2021, pp. 1-6.


K. Schulte and J. Haubrock, "Linear programming to increase the directly used photovoltaic power for charging several electric vehicles," 2021 IEEE Madrid PowerTech, Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/PowerTech46648.2021.9494914.



2020


M. Kelker, K. Schulte and J. Haubrock, "State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement," NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, Germany, 2020, pp. 1-6.


K. Schulte, M. Kelker and J. Haubrock, "Artificial neural networks to predict the node voltages in a low-voltage grid," NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, Germany, 2020, pp. 1-6.


M. Kelker, A. Berrada, K. Schulte and J. Haubrock, "Entwicklung und Validierung eines optimalen Platzierungsalgorithmus für µPMUS im Niederspannungsnetz," EnInnov 2020; 16. Symposium Energieinnovation, Graz, Austria, 2020.


P. Lohmann, M. Kelker, K. Schulte and J. Haubrock, "Auslegung eines Antriebstranges für einen Batterie-Elektrischen Zug," EnInnov 2020; 16. Symposium Energieinnovation, Graz, Austria, 2020.



2019


M. Kelker, K. Schulte, K. Kröger and J. Haubrock, "Development and validation of a neural network for state estimation in the distribution grid based on μPMU data," 2019 Modern Electric Power Systems (MEPS), Wroclaw, Poland, 2019, pp. 1-6, doi: 10.1109/MEPS46793.2019.9394975.


K. Schulte, M. Kelker, and J. Haubrock, “Predicting the local generated photovoltaic power by creating a forecast model using artificial neural networks and verifying the model with real data,” IEEE Power and Energy Student Summit PESS, Magdeburg, Germany, 2019.


M. Kelker, K. Schulte, D. Hansmeier, F. Annen, K. Kröger, P. Lohmann and J. Haubrock, "Development of a forecast model for the prediction of photovoltaic power using neural networks and validating the model based on real measurement data of a local photovoltaic system," 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6, doi: 10.1109/PTC.2019.8810719.