Renewable Generation (Wind/Solar) and Load Modeling through Modified Fuzzy Prediction Interval

Algorithm 1

 Get Initial Parameters (fuzzy model weights, cost function,

variables count, variables range, max iteration, population

size, inertial weight and damping ratio, personal and

global learning coefficient)

for 1 to population size do

 Initialize the position [30], velocity, personal and global

 best of each particle based on the cost function.

end for

repeat

 for 1 to population size do

  Update velocity of a particle using (9)

  Update position, velocity and cost of each particle

  Apply minor limits for the velocity of each particle

  if particle cost ≤ particle best cost then

   update personal best

   if particle best cost ≤ best solution cost then

    Update global best

   end if

  end if

 end for

 Best cost of iteration best solution cost

 Update inertial weight

until Maximum iteration & minimum error achieve