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• W4386323653 abstract "In microgrids, distributed energy sources play a crucial role in meeting load demands. To ensure power stability within a grid-connected microgrid, this study presents a novel fuzzy logic-based management system for a residential setup. The system utilizes a photovoltaic (PV) system as a renewable energy source to power the residential load and charge electric vehicles (EVs). With a focus on minimizing grid dependency during peak hours and high-load demand, a carefully designed fuzzy logic controller comprising 48 rules has been implemented. The system takes into account the electricity tariff specific to Milan, Italy. The controller’s rules and membership functions have been optimized to meet the desired objectives, and the implementation has been carried out using MATLAB’s fuzzy logic toolbox (version 2020b). Extensive simulations using the MATLAB/Simulink environment (version 2020b) validate the effectiveness of the proposed system. Furthermore, a comprehensive cost analysis of the power exchange with the grid, considering the fuzzy-based energy management system, demonstrates a notable reduction in grid power consumption while satisfying the load demands." @default.
• W4386323653 created "2023-09-01" @default.
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• W4386323653 date "2023-07-17" @default.
• W4386323653 modified "2023-09-27" @default.
• W4386323653 title "Solar and Grid Power Integration for Dynamic Energy Management in Electric Vehicle Charging and Load Fulfilment with Fuzzy Logic" @default.
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• W4386323653 doi "https://doi.org/10.23919/aeitautomotive58986.2023.10217227" @default.
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