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Electrical Vehicle Charging Scheduling and Routing Mechanism in Interdependent Power and Transportation Networks

With the booming trend in deployments of transportation electrification, the interdependent relationship across power distribution and transportation networks has become a crucial element in recent years. Therefore, analyzing the planning and operation of tightly coupled power and transportation networks is imperative. This article proposes an optimal charging scheduling and routing mechanism for electrical vehicles bi-directional charging infrastructure. The optimization approach mixed-integer linear program (MILP) is utilized to relax the highly congested interdependent networks constraints. Furthermore, Monte Carlo simulation is adopted to maximize overall operating revenue considering charging schedule, routing planning, alleviating traffic congestion, and state of charge constraints. The case study demonstrates the effectiveness of the proposed study.