Parameters identification of photovoltaic models using a novel algorithm inspired from nuclear reaction

Parameters identification of photovoltaic (PV) models based on measured current-voltage characteristics curves is significant for the simulation, evaluation and control of PV systems. To accurately and reliably identify the parameters of different PV models, a novel nuclear reaction optimization (NRO) algorithm is proposed in the paper. In NRO, it can be assumed that two crucial phases which include nuclear-fission (NFi) phase and nuclear-fusion (NFu) phase are performed well and modeled in a search space. According to nucleus type and decay state, the Gaussian walk and variants of differential evolution operators are employed for imitating the fission process. The variants of differential evolution operators and Levy flight strategies are employed for simulating the ionization and fusion stages. The proposed NRO is used to solve the parameters identification problems of different PV models, i.e., single diode, double diode, and PV module. Comprehensive experiment results and analyses indicate that NRO can obtain a highly competitive performance compared with other state-of-the-art algorithms, especially in terms of accuracy and reliability.