Intelligent Management of Alternative Energy Sources through a System Based on Fuzzy Logic
Keywords:
Alternative Energy, Hybrid Generation, Fuzzy Logic, Power Management, Renewable Energy Systems, Intelligent Systems, Wind Energy, Solar Energy, Fuel Cells, Energy DemandAbstract
This research explores the application of computational intelligence techniques, specifically fuzzy logic, in the management of alternative energy sources such as wind, solar, and fuel cells. It proposes a hybrid energy generation system and evaluates its performance by considering factors like availability, reliability, and responsiveness to energy demand and environmental conditions. The study emphasizes the use of fuzzy logic-based control systems to optimize energy distribution, enabling efficient utilization of renewable energy sources. Furthermore, the management system is tested under various scenarios to determine how it can adapt to different energy needs. The goal is to demonstrate that intelligent management can lead to better energy efficiency in hybrid renewable energy systems. The computational tool developed for this purpose simulates the system's behavior and allows for detailed analysis, making it a valuable resource for optimizing renewable energy management in diverse contexts, particularly in countries like Colombia.
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