Multi-Objective Operation of PV-ESU Powered EV Charging Station
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Recently electric vehicles (EV s) have been popular choice in many countries due to low carbon emission and less operation cost. The rapid increase in EV s inevitably increases the number of charging stations used to charge them, and this naturally leads to more power demand at certain times of the day. It is also apparent that the increase in energy demand leads to an increase in electricity prices, as well as an increase in power loss in transmission lines. This may reduce the current aura of EV s, as higher electricity prices mean more expensive charging costs. Therefore, creating more competitive conditions at existing charging stations for lower charging costs is essential for a sustainable future. In this study, the primary objective is to reduce the charging cost by integrating a 20-kWp photovoltaic (PV) array and a 20-kWh energy storage unit (ESU) into an existing charging station fed from the grid and considering the overload of the grid and user charging preference. This multi-objective problem is solved for optimal daily cost using the binari-coded genetic algorithm (BCGA). The results show that proposed optimization model worked well, and the charging cost decreased depending on user preferences. © 2024 IEEE.
Açıklama
Beijing CAS Industrial Energy and Environment Technology Institute (BIEET); IEEE; University of Electronic Science and Technology of China (UESTC)
7th Asia Conference on Energy and Electrical Engineering, ACEEE 2024 -- 20 July 2024 through 22 July 2024 -- Chengdu -- 202296
7th Asia Conference on Energy and Electrical Engineering, ACEEE 2024 -- 20 July 2024 through 22 July 2024 -- Chengdu -- 202296
Anahtar Kelimeler
charging cost, Electric vehicles, metaheuristic techniques, photovoltaic, user comfort
Kaynak
2024 7th Asia Conference on Energy and Electrical Engineering, ACEEE 2024
WoS Q Değeri
Scopus Q Değeri
N/A
