A Two-Stage Optimal Electric Vehicles Charging Methodology Based on Aggregators Considering Grid Reliability and Operational Efficiency
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Electric vehicle charging, Vehicle-to-grid, Privacy, Pricing, Fluctuations, Filling, Job shop scheduling, Electric vehicles (EVs), smart charging algorithm, ADMM, peak shaving, valley filling, charging cost minimization
Kaynak
Ieee Transactions on Industry Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
61
Sayı
1
