A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm

Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

“…The most popular modelling approach is to utilise the electrical equivalent circuit that comprises of both linear and non-linear components. Over the years, many models have been proposed; starting from most rudimentary diode model, to the R S -model, the R P -model as well as the two-and three-diode models [7,8]. Obviously, the more complicated a model is, the more parameters are involved in its computation-and by deduction, longer time is needed by the simulator to generate results.…”

Comparative Study of Hybrid Models Based on a Series of Optimization Algorithms and Their Application in Energy System Forecasting

“…In fact, a new population in the PSO algorithm is obtained by shifting the positions of the previous one in each iteration, and each individual would be affected by its neighbour's trajectory and its own during its movement [51,52]. …”

“…GA has the ability to update particles rapidly, avoiding the premature convergence problem of standard particle swarm optimization. Therefore, the advantages of GAs can compensate perfectly for the disadvantages of particle swarm optimization [52].…”

Parameters extraction of double diode photovoltaic module’s model based on hybrid evolutionary algorithm

“…However, a GA requires a long execution time to converge. The drawbacks of a GA were overcome using the particle swarm optimization (PSO) algorithm in [31][32][33]; however, the results of PSO were still influenced by the initial values of the parameters that were generated randomly. Alam et al [34] proposed the flower pollination algorithm as a method to extract the parameters of both single-and double-diode PV models.…”