Optimizing energy Dynamics: A comprehensive analysis of hybrid energy storage systems integrating battery banks and supercapacitors     
Yazarlar (4)
Doç. Dr. Aykut Fatih GÜVEN Yalova Üniversitesi, Türkiye
Almoataz Y. Abdelaziz
Faculty Of Engineering, Ain Shams University, Mısır
Mohamed Mahmoud Samy
Beni-Suef University, Mısır
Shimaa Barakat
Beni-Suef University, Mısır
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Energy Conversion and Management
Dergi ISSN 0196-8904 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 07-2024
Cilt No 312
Sayı 1
Sayfalar 1 / 21
DOI Numarası 10.1016/j.enconman.2024.118560
Makale Linki http://dx.doi.org/10.1016/j.enconman.2024.118560
Özet
This study investigates the optimization of a grid-connected hybrid energy system integrating photovoltaic (PV) and wind turbine (WT) components alongside battery and supercapacitor storage. The research addresses the critical need for efficient energy storage solutions in renewable energy integration. Six optimization algorithms—AGTO, ARO, BOA, CGO, PFA, and TSO—are evaluated for their efficacy in determining optimal system configurations. The system's adaptability to dynamic scenarios is examined through comprehensive sensitivity analyses, shedding light on its robustness. The findings reveal that the CGO algorithm outperforms others by achieving optimal solutions with fewer iterations, highlighting its efficiency. Key conclusions include the identification of an optimal configuration comprising a 589.58 kW PV system, 664 kW WT, a 675-kW supercapacitor, and a 1000 kWh battery bank. This configuration achieves an 80 % renewable energy fraction (REF), reduces the annual system cost (ACS) to $603,537.8522, and maintains a competitive levelized cost of electricity (LCOE) at $0.2380 per kWh. The research underscores the significance of integrated energy storage solutions in optimizing hybrid energy configurations, offering insights crucial for advancing sustainable energy initiatives. The study contributes valuable insights to the scientific community, paving the way for more efficient and resilient renewable energy systems.
Anahtar Kelimeler
Hybrid renewable energy system | Hybrid energy storage system | Supercapacitor | Optimization algorithms | Sensitivity Analysis | Sustainable energy