Abstract
This paper presents a dual-strategy approach to optimizing charging and discharging schedules for school bus fleets, using the limited charging infrastructure effectively. We aim to ensure that each bus is fully charged for daily operations and aids in grid stability during peak demand. The first strategy utilizes linear programming to schedule overnight charging at available station sockets and strategic discharging during peak periods, efficiently coordinating limited resources. The second strategy employs metaheuristic techniques for continuous optimization, focusing on precise power requirements and offering greater flexibility than the linear model.
| Original language | English |
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| Title of host publication | IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781665464543 |
| DOIs | |
| State | Published - 2024 |
| Event | 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 - Chicago, United States Duration: Nov 3 2024 → Nov 6 2024 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (Electronic) | 2577-1647 |
Conference
| Conference | 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 11/3/24 → 11/6/24 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DEAC05-00OR22725 with the US Department of Energy (DOE), Office of Electricity and Office of Energy Efficiency & Renewable Energy. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- Electric Vehicle Charging Optimization
- Improved Cooperative Algorithm
- Linear Programming in Energy Management
- School Bus Fleet Management