Article detail · 2025
A Two-Stage Optimal Electric Vehicles Charging Methodology Based on Aggregators Considering Grid Reliability and Operational Efficiency
IEEE Transactions on Industry Applications
- Year
- 2025
- ISSN
0093-9994- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
English (OpenAlex)
This paper presents a two-stage optimal charging methodology for electric vehicles that considers grid impact, load management, and optimal charging based on pricing. The charging method is distributed based on aggregators (complying with orders such as FERC 2222). The approach considers peak loading time and optimally schedules charging so that cost savings can be integrated into customer pricing as incentives. The advantages of this proposed architecture include a) demand response and maintaining load balance, b) supporting grid stability, and c) allowing prioritized charging. It is observed that the approach has significant improvement in cost saving, valley filling, and fully providing the EV charging requirements for the customers.
Topics
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
Primary topic Electric Vehicles and Infrastructure