Abstract
This paper explores the use of autonomous unmanned vehicles to support power grid operations. With built-in batteries and the capability to carry additional battery energy storage, the rising number of autonomous vehicles can represent a substantial amount of capacity that is currently underutilized in the power grid. Unlike traditional electric vehicles that require drivers, the operations of autonomous vehicles can be performed without human intervention. To guide idle vehicles to autonomously support power grids, we propose a tractable optimization-based method to effectively integrate these "mobile batteries" into grid operations. During real-time operations, the vehicles are strategically routed to target locations to maintain power balance and reduce operating costs. Numerical studies have confirmed both the validity and the scalability of the proposed algorithm to efficiently integrate autonomous vehicles into routine power system operations.
| Original language | American English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| State | Published - 2025 |
| Event | 2025 IEEE Power & Energy Society General Meeting - Austin, TX Duration: 27 Jul 2025 → 31 Jul 2025 |
Conference
| Conference | 2025 IEEE Power & Energy Society General Meeting |
|---|---|
| City | Austin, TX |
| Period | 27/07/25 → 31/07/25 |
NLR Publication Number
- NLR/CP-5D00-93006
Keywords
- mixed-integer optimization
- optimal power flow
- power systems
- transportation systems
- unmanned vehicles