OPTIMIZING GRID-CONNECTED SMART HYBRID RENEWABLE ENERGY SYSTEMS: A FEASIBILITY ANALYSIS ACROSS DIVERSE CLIMATIC ZONES
Abstract
The global energy landscape is undergoing a significant transformation, driven by concerns over climate change and the depletion of fossil fuels. Hybrid renewable energy systems (HRES), combining sources like solar photovoltaic (PV) and wind power with energy storage, offer a promising solution to enhance energy security and reduce carbon emissions. When integrated with smart grid technologies and connected to the main grid, these systems can provide reliable, sustainable, and economically viable power. This article presents a detailed feasibility analysis of grid-tied smart HRES through optimal sizing under various weather conditions. It reviews existing methodologies, discusses critical components and objective functions, and highlights the application of meta-heuristic optimization algorithms to achieve cost-effective and reliable system designs. The findings emphasize the crucial role of accurate resource assessment and robust optimization techniques in realizing the full potential of these advanced energy systems across diverse climatic zones.
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