2022
DOI: 10.1016/j.egyr.2022.09.057
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Research on the parameter identification of PV module based on fuzzy adaptive differential evolution algorithm

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Cited by 14 publications
(3 citation statements)
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“…If (rl 2 < rl 1 ) then (9) Swap (rl 1 , rl 2 ); (10) End If (11) Randomly select two particles from rl 1 , rl 2 : X rl1,k1 , X rl2, k2 ; (12) Update particle X i, j according to equations ( 8) and ( 9); (13) Calculate the ftness value f (X i, j ) of this particle; ( 14)…”
Section: Experiments and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…If (rl 2 < rl 1 ) then (9) Swap (rl 1 , rl 2 ); (10) End If (11) Randomly select two particles from rl 1 , rl 2 : X rl1,k1 , X rl2, k2 ; (12) Update particle X i, j according to equations ( 8) and ( 9); (13) Calculate the ftness value f (X i, j ) of this particle; ( 14)…”
Section: Experiments and Discussionmentioning
confidence: 99%
“…GA was also combined with the simulated annealing to extract the unknown variables of SDM of the PV cell or module [7]. Moreover, diferential evolution (DE) and its variants [8][9][10][11][12][13] garnered a lot of interest in identifying the PV models' parameters. In reference [14], DE is recommended for the evaluation of PV cell parameters under various operating conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithms and differential evolution (DE) are both being studied in relation to EC approaches (GA) [7]- [9]. In [10] proposed fuzzy adaptive differential evolution algorithm for identification of PV module parameters. While improving convergence parameter adjustment strategy is constructed to improve the local search capability of PV module.…”
Section: Introductionmentioning
confidence: 99%