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Optimal MPPT Control of a Photovoltaic System Under Non-uniform Irradiation

Yehia Lalili, Meriem Halimi, Toufik Bouden

Abstract

Under Partial shading conditions (PSC), traditional MPPT methods such as, P&O, IncCon and SMC, cannot track down the Global MPP. Thus, the energy conversion of the PV modules will decrease. To overcome this drawback, two evolutionary algorithms; PSO and CS, were presented. Also, the study introduces a hybrid optimization method to enhance the overall performance of the PV system under PSC. MATLAB simulations will be used in order to illustrate the efficiency of the proposed method.

Optimal MPPT Control of a Photovoltaic System Under Non-uniform Irradiation

Abstract

Under Partial shading conditions (PSC), traditional MPPT methods such as, P&O, IncCon and SMC, cannot track down the Global MPP. Thus, the energy conversion of the PV modules will decrease. To overcome this drawback, two evolutionary algorithms; PSO and CS, were presented. Also, the study introduces a hybrid optimization method to enhance the overall performance of the PV system under PSC. MATLAB simulations will be used in order to illustrate the efficiency of the proposed method.

Paper Structure

This paper contains 10 sections, 8 equations, 16 figures.

Table of Contents

  1. Introduction
  2. Intelligent Algorithms
  3. Cuckoo search (CS) algorithm
  4. Particle swarm optimization (PSO)
  5. OPTIMIZATION OF CLASSICAL ALGORITHMS
  6. Artificial neural network (ANN)
  7. SIMULATION RESULTS
  8. Simulation of intelligent algorithms
  9. Simulation of Optimized Classical Algorithms
  10. CONCLUSION

Figures (16)

  • Figure 1: GMPP searching mechanism by CS under PSCahmed2014maximum.
  • Figure 2: GMPP distribution of the PV array under different PSCzhang2019modified.
  • Figure 3: Configuration of ANNzhang2019modified.
  • Figure 4: Schematic diagram of the hybrid MPPT control.
  • Figure 5: ANN trained structure of the PV system simulated in MATLAB/Simulink.
  • ...and 11 more figures