Parameter identification of solar cell model using Levenberg–Marquardt algorithm combined with simulated annealing

By F. Dkhichi, B. Oukarfi, A. Fakkar, N. Belbounaguia. 2014

185 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f4109f647109ab970f2c5154d74aea5aaf6594f5

Citations in the corpus

• A parameter extraction technique exploiting intrinsic properties of solar cells (2016, unknown): “…from the dataset as follows: V OC ¼ 0 : 5727 V, I SC ¼ 0 : 7605 A, V M ¼ 0 : 45 V and I M ¼ 0 : 69 A. Table 3 shows the extracted parameters, calculated by the proposed method and by eight reference techniques: LMSA [25], CPSO [21], SA [23], PS [18], BMO [20], ABSO [22], GA [17], and Newton [12].”