Abstract
An adaptive fuzzy logic (FL)-based new maximum power point (MPP) tracking (MPPT) methodology for controlling photovoltaic (PV) systems is proposed, designed, and implemented in this paper. The existing methods for implementing FL-based MPPTs lack for adaptivity with the operating point, which varies in wide range in practical PV systems with operating irradiance and ambient temperature. The new proposed adaptive FL-based MPPT (AFL-MPPT) algorithm is simple, accurate, and provides faster convergence to optimal operating point. The effectiveness and feasibility verifications of the proposed AFL-MPPT methodology are validated with considering various operating conditions at slow and fast change of solar radiation. In addition, the simplified implementation of the proposed algorithm is carried out using C-block in PSIM software environment, wherein the proposed algorithm and system are simulated. Additionally, experimental results are performed using a floating-point digital signal processing (DSP) controller (TMS320F28335) for verifying the feasibility of the proposed AFL-MPPT methodology. The results of simulations and experimental prototypes show great consistency and prove the capability of the new AFL-MPPT methodology to extract MPPT rapidly and precisely. The new proposed AFL-MPPT method achieves accurate output power of the PV system with smooth and low ripple. In addition, the new proposed AFL-MPPT method benefits fast dynamics and it reaches steady state within 0.01 s.
Highlights
Solar energy and other renewables like geothermal, biomass, photovoltaic (PV), and wind energy can minimize the emissions of the CO2 and other harmful gases resulting from fossil fuel
SIMULATIONS RESULTS Simulation programs and experimental prototypes are employed for verifying the superior performance of the new proposed AFL-maximum power point tracking (MPPT) controller for PV systems
The results show that the new proposed AFL-MPPT achieves fast transient response in addition to accurate tracking for the maximum output power operating point
Summary
Solar energy and other renewables like geothermal, biomass, photovoltaic (PV), and wind energy can minimize the emissions of the CO2 and other harmful gases resulting from fossil fuel. The most conventional and effective technique for better energy efficiency of PV systems is the maximum power point tracking (MPPT) control [6] This is due to the fluctuating nature of PV generation. Higher precision and lower voltage fluctuations have been achieved These design and implementation methods lack for adaptivity with various operating points of PV systems. From another side, hybrid MPPT methods with FL have been introduced in the literature. The proposed design and implementation features the high accuracy of extracting MPPT, low fluctuation in the PV voltages, and adaptivity with wide range of operating point of PV systems. A new adaptive MPPT control methodology is proposed, designed, and implemented based on fuzzy logic control method.
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