This paper proposes a new method for extracting parameters
of double diode model of photovoltaic module, based on differential evolution
with adaptive mutation per iteration (DEAM) algorithm. The proposed method
combined the mutation mechanism of electromagnetism-like algorithm with
conventional version of different evolution (DE) algorithm to enhance the performance
of DE. Furthermore, a new formula to adjust the mutation scaling factor and
crossover rate for each generation is proposed. The performance of DEAM has
been evaluated using
experimental data and other previous methods in literature. According to the
results, the proposed method offers better
performance than other methods in terms of accuracy and
convergence. Furthermore, the feasibility of proposed methods is validated by
comparing the obtained results with other previous methods using various
statistical errors.