Identifying the parameters of photovoltaic cells using Gaussian bare-bone imperialist competitive algorithm with opposition-based learning mechanism
Extracting the precise parameters of photovoltaic (PV) cells has become very important for simulation, evaluation, control, and optimization of PV systems.However, it is still a challenging task to accurately and reliably extract the parameters of PV cells.To solve this difficult problem, in this paper, a new meta-heuristic algorithm called Gaussia