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- W4285178575 abstract "Micro-grid energy compromises a number of energy networks that suit the city’s energy needs. Practical alternatives to extensive integration into our existing grid include an energy storage device (e.g., electro-chemicals), which take account of affordability, supply security, technological maturity, and ease of use. It provides a micro-grid that combines wind and PV resources in nonlinear charging systems with a battery power supply (BES). The grid switching and re-settings will focus on the key characteristics of changing power quality (PQ), power reliability, nonlinear load response, and economic utilization of resources. The enhanced adaptive filtering technique, comprised of a control system for providing the GVSC control signals for “lowest average moments,” ensures nonlinear charge emolument and enhances PQ. It produces upgraded weight by combining two previous gradient weights, modifying the convergence rate, and overcoming traditional control inhibition in the same family. Typical measurements of vector control and encoder-less speed and position of the MVSC are given using signal switching (SG). A model PowerPoint (P&O) for optimal wind power extraction and an adaptive P&O for solar MPPT assessment is used to deal with external environmental disruptions. The proposed fuzzy logic controller allows for the success of the independent PV-wind MPPT hybrid strategy. The PV-wind control capabilities of fuzzy logic have been established. The fuzzy logic controller (FLC) is compared with the included P&O and HCS MPPT controller for a wind system using the fuzzy logic controller for both renewable energies (FLC). The results of the simulation for MATLAB/Simulink are generated under constant and dynamic scenarios, such as wind changeable speed, intermittent solar irradiation, and changing circumstances of load." @default.
- W4285178575 created "2022-07-14" @default.
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- W4285178575 date "2022-01-01" @default.
- W4285178575 modified "2023-09-25" @default.
- W4285178575 title "Design and Analysis of Fuzzy-Based Hybrid PV-Wind Power Quality Improvement for Local Nonlinear Loads Using MLMS" @default.
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- W4285178575 doi "https://doi.org/10.1007/978-981-19-1111-8_74" @default.
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