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2090. An Iterative Multistage Model for Electric Vehicle Routing and Charging Management in Road Transportation and Power Distribution Systems
Invited abstract in session MD-19: Electric Vehicles within Electric Power Systems, stream OR in Energy.
Monday, 14:30-16:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Pablo Diaz-Cachinero
|
| Department of Statistics, University Carlos III of Madrid | |
| 2. | Javier Contreras
|
| University of Castilla - La Mancha | |
| 3. | Jose Ignacio Muñoz-Hernandez
|
| Universidad de Castilla-La Mancha | |
| 4. | Mahdi Pourakbari-Kasmaei
|
| Aalto University | |
| 5. | Matti Lehtonen
|
| Aalto University |
Abstract
Electric vehicles (EVs) emerge as a promising alternative to fossil fuel-powered vehicles, noted for their zero emissions. As more EVs take to the roads, managing their interaction with road transportation and power distribution systems becomes crucial to meet electrical demand. This study presents a new multistage model that integrates EV delivery routing with energy charging management. The model considers the constraints of EVs and parcel delivery in the road transportation system, while the power distribution system operation is modeled via a linearized AC power flow model including generators and conventional demand. This work considers an EV demand aggregator, whose aim is to find the best strategy in terms of costs and benefits by adjusting EV routing via incentives for availability time and charging EVs at points with the lowest locational marginal prices (LMPs). The model unfolds through three main iteratively interconnected stages. First, delivery allocation and detailed routing are tackled to minimize traveled distances and operational costs. Then, an iterative linkage between the road transportation and energy distribution systems is performed. Finally, a bi-level model is proposed to optimize the charging strategy by the EV demand aggregator in the power distribution system, minimizing costs based on LMPs. Numerical results validate the proposed model with a case study that includes 3,000 EVs within a 284-intersection map and a 119-bus power distribution system.
Keywords
- OR in Energy
- Transportation
Status: accepted
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