@inproceedings{aquino_evcharging_2024,
author={Aquino, Alejandro D. Owen and Talkington, Samuel and Molzahn, Daniel K.},
booktitle={2024 IEEE Texas Power and Energy Conference (TPEC)},
title={{Managing Vehicle Charging During Emergencies via Conservative Distribution System
Modeling}},
year={2024},
volume={},
number={},
pages={1-6},
doi={10.1109/TPEC60005.2024.10472235}
}
Combinatorial distribution system optimization problems, such as scheduling electric vehicle (EV) charging during evacuations, present significant computational challenges. These challenges stem from the large numbers of constraints, continuous variables, and discrete variables, coupled with the unbalanced nature of distribution systems. In response to the escalating frequency of extreme events impacting electric power systems, this paper introduces a method that integrates sample-based conservative linear power flow approximations (CLAs) into an optimization framework. In particular, this integration aims to ameliorate the aforementioned challenges of distribution system optimization in the context of efficiently minimizing the charging time required for EVs in urban evacuation scenarios.
Anna Raymaker, Samuel Talkington, Zeezoo Ryu, Richard Asiamah, Emad Abukhousa, Betelihem Ashebo, Animesh Chhotaray, Daniel K. Molzahn, Frank Li, Saman Zonouz, and Raheem Beyah
Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, and Daniel K. Molzahn