M.N. Bañol Arias (Nataly)

Nataly Bañol Arias received the B.Sc. degree in industrial engineering from the Universidad Tecnológica de Pereira (UTP), Pereira, Colombia, in 2012, and the M.Sc. and Ph.D. degrees in electrical engineering from the São Paulo State University (UNESP), Ilha Solteira, Brazil, in 2015, and 2019, respectively. From May 2017 to April 2018, she was a visiting Ph.D. student at the Technical University of Denmark, Copenhagen, Denmark. From March 2019 to July 2021 she worked as a postdoctoral researcher at the School of Electrical and Computing Engineering, Department of Systems and Energy at the University of Campinas (UNICAMP), Campinas, Brazil.

Currently, she is a researcher with the Mathematics of Operations Research group at the University of Twente, Enschede, The Netherlands, conducting research on smart grids and sustainable energy systems. Her areas of research are the development of methodologies for the optimization, planning, and control of modern distribution systems including electric vehicles and renewable energy sources, energy transition, decarbonization of energy systems, and development and deployment of microgrids.

Engineering & Materials Science

# Costs
# Digital Twin
# Electric Vehicles
# Energy Management Systems
# Multiobjective Optimization
# Parking
# Scheduling
# Transparency

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Power Electronics (PE)

Winschermann, L. , Bañol Arias, N. , Hoogsteen, G. , & Hurink, J. L. (2023). Assessing the value of information for electric vehicle charging strategies at office buildings. Renewable & sustainable energy reviews, 185, 113600. [113600]. https://doi.org/10.1016/j.rser.2023.113600

Giraldo, J. S. , Arias, N. B., Vergara, P. P. , Vlasiou, M. , Hoogsteen, G. , & Hurink, J. L. (2023). Estimating Risk-aware Flexibility Areas for Electric Vehicle Charging Pools via AC Stochastic Optimal Power Flow. Journal of Modern Power Systems and Clean Energy, 11(4), 1247-1256. https://doi.org/10.35833/MPCE.2022.000452

Menzel, V. , Arias, N. B. , Hurink, J. L. , & Remke, A. (2023). Securing Smart Grids Locally using a Power Flow-based Intrusion Detection System. In 2023 IEEE Belgrade PowerTech [10202762] IEEE. https://doi.org/10.1109/PowerTech55446.2023.10202762

Santos, K. V. D., Higino Silva Santos, L. , Bañol Arias, N., López, J. C., Rider, M. J., & Silva, L. C. P. D. (2023). Optimal Sizing and Allocation of Distributed Energy Resources in Microgrids Considering Internal Network Reinforcements. Journal of Control, Automation and Electrical Systems, 34(1), 106-119. https://doi.org/10.1007/s40313-022-00934-x

Santos, K. V. D., Higino Silva Santos, L. , Bañol Arias, N., López, J. C., Rider, M. J., & Silva, L. C. P. D. (2023). Correction: Optimal Sizing and Allocation of Distributed Energy Resources in Microgrids Considering Internal Network Reinforcements (Journal of Control, Automation and Electrical Systems, (2023), 34, 1, (106-119), 10.1007/s40313-022-00934-x). Journal of Control, Automation and Electrical Systems, 34(1), 120. https://doi.org/10.1007/s40313-022-00940-z

Bañol Arias, N., Sabillon, C., Franco, J. F., Quiros-Tortos, J., & Rider, M. J. (2023). Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks. IEEE systems journal, 17(1), 1247-1258. https://doi.org/10.1109/JSYST.2022.3188220

Giraldo, J. S. , Bañol Arias, N., Vergara, P. P. , Vlasiou, M. , Hoogsteen, G. , & Hurink, J. L. (2023). Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF. ArXiv.org. https://doi.org/10.48550/arXiv.2301.00564

Zaneti, L. A. L. , Bañol Arias, N., Almeida, M. C. D., & Rider, M. J. (2022). Sustainable charging schedule of electric buses in a University Campus: A rolling horizon approach. Renewable and Sustainable Energy Reviews, 161, [112276]. https://doi.org/10.1016/j.rser.2022.112276

Giraldo, J. S. , Bañol Arias, N., Duque, E. M. S. , Hurink, J. L. , & Hoogsteen, G. (2022). A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions. In 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) https://doi.org/10.1109/ISGT-Europe54678.2022.9960542

Ahmadi, B. , Bañol Arias, N. , Hoogsteen, G. , & Hurink, J. L. (2022). Multi-objective Advanced Grey Wolf optimization Framework for Smart Charging Scheduling of EVs in Distribution Grids. In 2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings [Multi-objective Advanced Grey Wolf optimization] IEEE. https://doi.org/10.1109/UPEC55022.2022.9917961

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University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15), room C2439
Hallenweg 23
7522NH Enschede
The Netherlands

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University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5042
Hallenweg 19
7522NH Enschede
The Netherlands

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University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling 5042
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Power Electronics (PE)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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