Download PDFOpen PDF in browserHybrid Solar-Wind-Storage Systems: Research on the Design, Modeling, and Optimization of Hybrid Renewable Energy SystemsEasyChair Preprint 1381016 pages•Date: July 3, 2024AbstractHybrid solar-wind-storage systems have gained significant attention in recent years as a promising solution to address the intermittency and variability inherent in individual renewable energy sources. These integrated systems combine solar photovoltaic (PV) and wind turbine generators, coupled with energy storage components, to provide a more reliable and cost-effective renewable energy supply. This review paper provides a comprehensive overview of the research conducted on the design, modeling, and optimization of hybrid solar-wind-storage systems. It examines the key elements and architecture of these systems, including the selection and sizing of renewable energy generators, energy storage technologies, and power electronics interfaces. The paper discusses various modeling approaches, such as analytical, numerical, and hybrid techniques, used to simulate the dynamic performance of hybrid systems under different operating conditions. Additionally, the review covers optimization strategies that aim to maximize the system's energy generation, minimize the levelized cost of energy, and ensure optimal operation and control. These optimization techniques leverage advanced algorithms, including metaheuristic methods, to find the most suitable configuration and parameters for hybrid systems based on techno-economic and environmental factors. The paper also highlights the challenges and opportunities associated with the integration of hybrid solar-wind-storage systems, including grid integration, energy management, and the role of energy storage in enhancing system reliability and resilience. Finally, it provides insights into future research directions, such as the integration of artificial intelligence and machine learning algorithms for intelligent control and decision-making in these complex energy systems. Keyphrases: Energy, Renewable, Solar, Technology, Thermal, power
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