Optimizing energy Dynamics: A comprehensive analysis of hybrid energy storage systems integrating battery banks and supercapacitors

• Published in: Energy conversion and management 2024-07, Vol.312, p.118560, Article 118560
• Main Authors: Fatih Guven, Aykut, Abdelaziz, Almoataz Y., Mahmoud Samy, Mohamed, Barakat, Shimaa
• Format: Article
• Language: English
• Subjects: Hybrid energy storage system; Hybrid renewable energy system; Optimization algorithms; Sensitivity Analysis; Supercapacitor; Sustainable energy
• ISSN: 0196-8904; 1879-2227
• DOI: 10.1016/j.enconman.2024.118560

[Display omitted] •Optimal hybrid system based on AGTO, ARO, BOA, CGO, PFA, TSO.•Hybrid energy storage system with battries and supercapacitors.•Sensitivity analysis of Hybrid energy System, effect of Loss of power supply probability.•Real-time meteorological data of solar, wind and temperature were used in the optimization process.•The most suitable hybrid energy system design for hourly changing load demands was examined. 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.