Nagendar, Y. and Alabdeli, Haider and V, Prashanth and G, Aarthy and Thangavel, C. (2024) A Distributed Pricing Mechanism and Optimal Schedulingin Smart Grid using Improved Grey Wolf Optimization. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Energy is a critical resource, and new methods are required to meet demand in price-based demand response (DR). This study extends load management strategies to multiple EV charging regions using Improved Grey Wolf Optimization (IGWO). IGWO calculates EV charging costs based on distinct consumption patterns, sending dynamic non-discriminatory price signals to all regions. A mathematical model determines real-time charging prices. The global optimum converges successfully, demonstrating effectiveness. Simulations show cost savings of 0.69–6.89% while ensuring high user satisfaction.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science > Artificial Intelligence Computer Science > Computer Science Applications Computer Science > Computer Vision and Pattern Recognition Engineering > Control and Optimization Mathematics > Computational Mathematics |
| Divisions: | Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India > Biomedical Engineering |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 27 Nov 2025 06:45 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/1771 |
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