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The method works and test experiences are presented in paper. The dc link voltage is 2.4 kV and the RMS output line to line voltage is 1.7 kV. Sundvall, J.Ī simple method of serial connecting IGBT's is applied and standard low voltage IGBT modules are used in the MV test inverter to evaluate the method. The introduction of fuzzy controller solution has given very good performance and whatever the parametric variation of the system.Three level MV converter using series connected IGBT's
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This work presents a fuzzy logic controller based MPPT algorithms using design of dc to dc new buck converter for photovoltaic applications. Tracking of the maximum power point (MPPT) plays an important role in photovoltaic(PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore maximize they module efficiency. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation. The proposed method produces good efficiency with low switching loss. The simulation results have been used to verify the effectiveness of the algorithm.
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As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. In this paper, a fuzzy logic control (FLC) is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. Simulation results show that fuzzy based P&O MPPT has better performance where it can facilitate the solar panel to produce a more stable power. Perturb and observe (P&O) MPPT and fuzzy based optimized P&O MPPT are developed and the performances of both controllers are examined at variable solar irradiances at different temperatures. Maximum power point tracking (MPPT) is implemented to identify the maximum power operating point, subsequently regulate the solar panel to operate at that particular operating voltage for maximum power gaining. Due to the nonlinearity of the voltage-current characteristic in solar panel, it is difficult to determine analytically the maximum power operating voltage that varies with the change of solar irradiance and cell temperature. The photovoltaic panel has an optimal operating voltage where the PV panel can produce maximum power at this particular point. The solar system is modelled and analysed in MATLAB/SIMULINK.
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This paper presents fuzzy based perturb and observe maximum power point tracking in solar panel.
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