Managing vehicle charging during emergencies via conservative distribution system modeling
Author(s)
Owen Aquino, Alejandro D.
Advisor(s)
Molzahn, Daniel K.
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Abstract
As the transportation network becomes increasingly electrified, developing evacuation procedures in the case of extreme weather events has emerged as a paramount engineering challenge. In these scenarios, planners are tasked with coordinating electric vehicle charging throughout the evacuating region in a way that minimizes both charging time and electric system overloads. In this thesis, we propose and implement a new, efficient, and flexible mixed-integer linear programming formulation and solution algorithm for
this emergency EV charging problem. We accomplish this by leveraging a conservative linear power flow model, a user-selected voltage violation threshold, and a constraint generation algorithm. Furthermore, the proposed methods are evaluated on a test case segment of the larger, urban-suburban
distribution network model of the city of Greensboro, NC, under
a high EV penetration scenario. These experiments show the successful use of a tractable optimization formulation to minimize of the time required to charge all electric vehicles in urban evacuation at different voltage violation thresholds.
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Date
2024-05-08
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Text
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Thesis