Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling

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 unb...

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Bibliographic Details
Published in2024 IEEE Texas Power and Energy Conference (TPEC) pp. 1 - 6
Main Authors Aquino, Alejandro D. Owen, Talkington, Samuel, Molzahn, Daniel K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.02.2024
Subjects
Computational modeling
Distribution networks
distribution systems
Electric vehicle charging
EV charging
evacuation
Processor scheduling
Systems modeling
Transformers
Urban areas
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Summary: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 EV s in urban evacuation scenarios.
DOI:10.1109/TPEC60005.2024.10472235