A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm

Pseudocode 1

MATLAB pseudocode of the proposed algorithm.

Generate initial population

Initial fitness of initial individuals is determined by Eq. (2).

while (limit the execution times (max generations))

 while (convergence judgement conditions unsatisfied)

  //mutation process

  for i=1:4 //individual number

   calculate slope S of individual i by Eq. (4).

   calculate voltage adjustment V_M of individual i by Eq. (3).

  end for i

  //attractive process

  for i=1:4 //individual number

     for j=1:4 //individual number

   if (i≠j)

    calculate distance D between i and j.

    calculate voltage movement V_A of individual i by Eq. (5).

   end if

     end for j

  end for i

  //crossover process

     select parents for new individuals randomly.

     calculate the voltage of offspring V_O from their parents‘operating

     voltages V_RA & V_RB using Eq. (6).

  //selection process

  for i=1:6 //4 parents and 2 offspring

     calculate fitness of each individual using Eq. (2).

  end for i

     sort the fitness of the individuals

     define the individual with the highest fitness as MPP.

     discard 2 individuals with the lowest fitness.

  //convergence process

  for i=1:4 /the rest of the individuals

     execute convergence judgement using Eq. (7) and Eq. (8).

  end for i

 end while (max generations)

 iteration number = iteration number + 1 //record iteration number

end while (conditions are satisfied)

output the operating voltage of the MPP and the iteration number.