Gerwin Hoogsteen received the PhD degree from the University of Twente in 2017 with his thesis “ A Cyber-Physical Systems Perspective on Decentralized Energy Management”. He is currently employed as permanent researcher in the field of smart grids within the Computer Architecture for Embedded Systems chair, with a focus on applying theoretical research in field-tests. His research interest is in energy management for smart grids, and in particular where it concerns multi-disciplinary research and cyber-physical systems. Current research directions include the use of machine learning and artificial intelligence in smart grids, distributed coordination, and cyber-security of smart grids. Hoogsteen is the founder and maintainer of the DEMKit and ALPG software.
Engineering & Materials Science
# Demand Side Management # Electric Potential # Electric Vehicles # Electricity # Energy Management # Energy Management Systems # Energy Storage # Planning
Pappu, A. , Hoogsteen, G. , & Hurink, J. L. (2022). Distributed Co-operative Demand Side Management for Energy Communities. In 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (pp. 1-5).  IEEE. https://doi.org/10.1109/ISGT-Europe54678.2022.9960572
Tangerding, F. , Varenhorst, I. A. M. , Hoogsteen, G. , Gerards, M. E. T. , & Hurink, J. L. (2022). GridShield: A Robust Fall-Back Control Mechanism for Congestion Management in Distribution Grids. In 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (pp. 1-5).  IEEE/EUCA. https://doi.org/10.1109/ISGT-Europe54678.2022.9960301
Nijenhuis, B., Doumen, S. C. , Hönen, J. , & Hoogsteen, G. (2022). Using mobility data and agent-based models to generate future E-mobility charging demand patterns. In CIRED Porto Workshop 2022: E-mobility and power distribution systems (Vol. 2022, pp. 214-218).  IET. https://doi.org/10.1049/icp.2022.0697
Nijenhuis, B. , Winschermann, L. , Bañol Arias, N. , Hoogsteen, G. , & Hurink, J. L. (2022). Protecting the distribution grid while maximizing EV energy flexibility with transparency and active user engagement. In CIRED Porto Workshop 2022: E-mobility and power distribution systems (Vol. 2022, pp. 209-213).  IET. https://doi.org/10.1049/icp.2022.0696
Schaefer, E. W. , Hoogsteen, G. , Hurink, J. L. , & van Leeuwen, R. P. (2022). Sizing of hybrid energy storage through analysis of load profile characteristics: A household case study. Journal of Energy Storage, 52(Part A), . https://doi.org/10.1016/j.est.2022.104768
Giraldo, J. S., Arias, N. B., Duque, E. M. S. , Hoogsteen, G. , & Hurink, J. L. (2022). A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions. ArXiv.
van Leeuwen, R. P., Boerman, A. E. , Schaefer, E. W. , Hoogsteen, G. , & Hajimolana, Y. S. (2022). Model Supported Business Case Scenario Analysis for Decentral Hydrogen Conversion, Storage and Consumption within Energy Hubs. Energies, 15(6), . https://doi.org/10.3390/en15062065
Vadavathi, A. R. , Hoogsteen, G. , & Hurink, J. L. (2021). Comparison of Fairness based Coordinated Grid Voltage Control Methods for PV Inverters. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1-5) https://doi.org/10.1109/ISGTEurope52324.2021.9639982
Nijenhuis, B. , Gerards, M. E. T. , Hoogsteen, G. , & Hurink, J. L. (2021). An Outage Probability Model for Electric Vehicles in Low Voltage Grids. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1-5).  IEEE/EUCA. https://doi.org/10.1109/ISGTEurope52324.2021.9640169
Homan, B. , Hoogsteen, G. , & Hurink, J. L. (2021). Multi-Objective Optimized Operation of Energy Storage Devices - Poster. Poster session presented at 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland.
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Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.