Grid-Aware On-Route Fast-Charging Infrastructure Planning for Battery Electric Bus with Equity Considerations: A Case Study in South King County
Xinyi Zhao, Chaoyue Zhao, Grace Jia

TL;DR
This paper presents a comprehensive planning framework for on-route fast-charging infrastructure for electric buses, integrating power and transit networks, with a focus on cost efficiency and social equity in South King County.
Contribution
It introduces a novel mixed-integer second-order cone programming model that considers grid constraints and fairness, advancing infrastructure planning for electric buses.
Findings
Optimized charging station locations reduce total costs.
Incorporating fairness improves social equity in infrastructure deployment.
The model balances economic and social objectives effectively.
Abstract
The transition from traditional bus fleets to zero-emission ones necessitates the development of effective planning models for battery electric bus (BEB) charging infrastructure. On-route fast charging stations, distinct from on-base charging stations, present unique challenges related to safe operation and power supply capacity, making it difficult to control grid operational costs. This paper establishes a novel framework that integrates the bus route network and power network, which leverages the inter-dependency between both networks to optimize the planning outcomes of on-route BEB charging stations in South King County. The problem is formulated as a mixed-integer second-order cone programming model, aiming to minimize the overall planning cost, which includes investments in charging equipment, power facility, and grid operation. Furthermore, fairness measurements are incorporated…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectric Vehicles and Infrastructure · Transportation and Mobility Innovations · Advanced Battery Technologies Research
