Summary
In high-penetration electric vehicle (EV) grids, conventional EV charging models exacerbate grid strains during peak times while they miss the opportunity to utilize the flexibility and capacity of EVs' batteries optimally. A novel simultaneous IoT-based battery-swapping and vehicle-to-grid (V2G) optimization framework is presented in this paper that addresses the challenges of grids, such as stability and reliability. This research indicates these gaps by developing an integrated IoT-based battery-swapping and V2G-optimization system coordinating the EV charging/discharging, battery allocation, and grid interactions through a unified optimization framework. The proposed model exploits real-time communication and introduces a multi-objective optimization to coordinate battery-swapping decisions based on anticipated travel demand and grid conditions. The core innovation is based on introducing a multi-objective function that simultaneously minimizes electricity procurement cost, maximizes V2G revenue, reduces peak loads, and mitigates battery degradation. Traditional
Read more Read lessV2G models focus solely on grid services without battery swapping, while our model uniquely integrates all three components with distribution grid constraints. This model empowers EVs' batteries to serve as distributed energy storage systems which are considered for arranging critical grid services during required times. Simulations over a week period with 100 EVs has been performed which delivers the expected results demonstrating notable improvements:
customers' profits increase by 11.3% and the peak load reduction of 21.8% is brought about.
Evaluating simulation results indicates that the proposed model has reduced the average customer net costs by 31.9% in the proposed system scenario compared to the baseline from three revenue streams: V2G energy sales, DR incentives, and optimized charging. Average
V2G revenue is about 8.7 ($/week) per EV owner, and Average DR Incentives are about 3.2
($/week), both of which are the profits from implementing the proposed strategy. This research takes advantage of the infrastructures included in available smart grids to provide a scalable, economically viable solution, integrating high EV penetration while maintaining grid reliability and optimizing resource utilization.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C6_11311_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Iran, Islamic Republic of |
| Study committees | |
| File size | 524 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
MANSOURI HamidReza - NirouTrans Co.; JALALI Mohammad Majid - NirouTrans Co.
