Determination of photovoltaic modules parameters at different operating conditions using a novel bird mating optimizer approach

Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

“…Recently, SBMOa simplified version of BMO [129], exhibited superior accuracy compared to seek optimization algorithm (SOA), IGHS, GGHS, PSO with adaptive inertia weight (PSO-w), as well as the PSO with constriction factor (PSO-cf).…”

“…Despite this potential, the stochastic nature of the soft computing methods must be appreciated. With a few exceptions [73,79,129], most authors perform only standard error analysis, such as root mean squared error (RMSE) and mean absolute error (MAE) to evaluate the performance of their algorithms [28,76,77,82,116]. Although these are useful indicators, they do not provide adequate information regarding the consistency of the soft computing solutions.…”

“…The extracted parameters were used to compute the MPP of the corresponding I-V curve. Askarzadeh and Coelho [129] developed a simplified version of BMO to estimate the parameters of the single diode R P -model for an amorphous silicon PV module. The simplified BMO (SBMO) has modified rules and reduced number of control parameters, making it more user friendly to beginners.…”

The irradiance and temperature dependent mathematical model for estimation of photovoltaic panel performances

“…[16] Differential Evolution (DE) method is used for PV panel parameter estimation. The parameter estimation of the PV equivalent circuit is done by using the Bird Mating Optimizer (BMO) in [17]. For the optimization of the PV panel parameter values the Genetic Algorithm (GA) is used in [27].…”

“…The similar approach is used in [16] where the evolutionary algorithm is used to estimate numerically I ph , R s , R sh , n 1 , I 01 , n 2 , I 02 without expressing changes of the parameters with temperature and irradiance through mathematical functions. Also in [17] population based method is used to estimate numeric values of I ph , R s , R sh , n, I 0 . The model with reduced number of the parameters for estimation R s and n based on measured I-V data at a temperature and a irradiance is proposed in [18] while R sh and I 0 are calculated from R s , n and I-V data.…”