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 (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Energy Conversion and Management (Q1)
Dergi ISSN 0196-8904 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 07-2024
Kabul Tarihi Yayınlanma Tarihi 01-07-2024
Cilt / Sayı / Sayfa 312 / 1 / 1–21 DOI 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 …
Anahtar Kelimeler
Hybrid energy storage system | Hybrid renewable energy system | Optimization algorithms | Sensitivity Analysis | Supercapacitor | Sustainable energy