Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands
Mark Christianen, Maria Vlasiou, Maria Vlasiou, Bert Zwart, Bert Zwart
2023
Abstract
We use simulation to compare different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow power flow models and we assume that EVs arrive at the network with an exponential rate, have an exponential charging requirement, and that voltage drops on the distribution network stay under control. We provide extensive numerical results investigating the effect of using different power flow models on the performance of the network.
DownloadPaper Citation
in Harvard Style
Christianen M., Vlasiou M. and Zwart B. (2023). Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, pages 167-174. DOI: 10.5220/0011670600003396
in Bibtex Style
@conference{icores23,
author={Mark Christianen and Maria Vlasiou and Bert Zwart},
title={Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011670600003396},
isbn={978-989-758-627-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands
SN - 978-989-758-627-9
AU - Christianen M.
AU - Vlasiou M.
AU - Zwart B.
PY - 2023
SP - 167
EP - 174
DO - 10.5220/0011670600003396