Grid-ECO: Grid aware electric vehicle charging stations placement optimizer
Panthee, Bikram
Panthee, Bikram
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Abstract
The rapid growth of electric vehicles requires expanding public charging stations, but adding stations to existing grids can overload transformers and cause voltage drops, leading to expensive upgrades. We formulate and solve NP-hard Mixed-Integer Nonlinear Program (MINLP) to optimize charging station placement and sizing by maximizing number of chargers ensuring grid feasibility, budget constraints, and demand fulfillment. We reformulate the MINLP problem into Mixed-Integer Bilinear Program (MIBLP) that the Gurobi solver can solve to near 0% optimality gap if good initial conditions and bounds are available. We applied McCormick relaxation on MIBLP and bound tightening to get good initial condition.
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Graduate
Date
2025-06-02