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- W4280646870 abstract "This paper presents a comparative functional analysis of a typical stand-alone photovoltaic system (SPV) with a charging battery. Considering the nonlinear behavior of the PV system, a specific methodology based on Tayler’s expansion series is opted for the modelling, control, and optimization. During the proposed steps, a practical PID controller is designed using a dynamic state space averaging approach. This controller is used to track the maximum power point (MPP) and control the battery charging process. To check the validity of this controller, it is applied with three disparate MPPT algorithms to enhance system performances by preventing drift phenomenon against fast changing in cell temperature and solar irradiance, and control the battery pack to conform with the load rating voltage. A typical 2525 W SPV is simulated in short term to capture fast dynamics transitional details. By comparison with practical manufacturer's specifications of the PV panel, the load, and the battery pack; simulation results show particularly, good performances with fuzzy logic controller in terms of speed tracking, MPPT tracking accuracy, voltage quality, and reducing transient fluctuations. The findings of this research substantiate its efficacy, which may serve as a prototype study for the design and realization of stand-alone photovoltaic systems with energy storage." @default.
- W4280646870 created "2022-05-22" @default.
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- W4280646870 date "2022-04-30" @default.
- W4280646870 modified "2023-09-26" @default.
- W4280646870 title "Comparative Functional Analysis of Three MPPT Techniques Applied on a Stand-Alone Photovoltaic System with a Charging Battery" @default.
- W4280646870 doi "https://doi.org/10.18280/jesa.550214" @default.
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