Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications

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 veri_cations of the proposed AFL-MPPT methodology are validated with considering various operating conditions at slow and fast change of solar radiation. In addition, the simpli_ed 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 _oating-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 newAFL-MPPT methodology to extract MPPT rapidly and precisely. The newproposed AFL-MPPT method achieves accurate output power of the PV system with smooth and low ripple. In addition, the new proposed AFL-MPPT method bene_ts fast dynamics and it reaches steady state within 0.01 s.

KEYWORDS:

1.      DSP controller

2.      energy eficiency

3.      fuzzy logic (FL)

4.      MPPT

5.      photovoltaic systems

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

 

FIGURE 1. Schematic diagram of PV system and control method.

 EXPECTED SIMULATION RESULTS:

 

FIGURE 2. Simulation results for the new proposed AFL-MPPT method at

transient starting.

FIGURE 3. Simulation results for the new proposed AFL-MPPT method at

step change in the radiance.

 

FIGURE 4. Simulations results of the new proposed AFL-MPPT method

at slow tracking response of the radiance.

 CONCLUSION:

This paper presented a new modi_ed controller and design method for FL-based MPPT tracking for PV systems. The newproposed method represents an adaptive FL-based MPPT (AFL-MPPT method). The main advantages in the proposed AFL-MPPT method are accurate and adaptive tracking performance of the operating maximum power extraction point of the solar PV system, and the mitigation of power _uctuations in transient and steady state operating points. Moreover, the proposed AFL-MPPT method achieves faster MPPT convergence with simple implementation. The proposed AFL-MPPT controller can effectively overcome the demerits of the existing MPPT methods in the literature. The proposed AFL-MPPT method has been implemented using C-block in PSIM environment and veri_ed by experimental prototyping of 75-watt PV module. The obtained experimental results coincide with the obtained simulation results, which verify the superior performance for the new proposed control method and design procedures over the conventional MPPT extraction schemes in the literature. The new proposed AFL-MPPT method bene_ts high tracking ef_ciency and fast dynamics by reaching steady state point within 0.01 seconds. Additionally, the new proposed implementation method can be easily integrated with the existing global MPPT searching algorithms.

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