hence the size of inverter is reduced. As each PV panel and micro inverter form individual system, malfunction of one micro inverter does not hamper whole solar farm operation [3]. In case of
A study has been performed to extract the unknown parameters of a photovoltaic (PV) module using mathematical model-driven analysis.
In the commercially available PV module normally the voltage–power ( V–P) characteristic graphs are not provided. Instead of that some experimental data are provided. The datasheet values of a 315 Wp PV module (make: Websol Energy System Limited, India) are shown in Table 1. All the parameters are calculated at STC.
The operating parameters of particle gluing can be adjusted based on the NSGA2-SVR multi-objective prediction model according to the actual gluing requirements, to improve the MOE, MOR, and IB of the produced PB. It was assumed that fcore ran at 300 kg/min in a certain period.
The multi-objective model of NSGA2-SVR particle gluing operating parameters can make the mechanical properties of PB to reach the optimal values or meet the minimum requirements of enterprise standards under these parameters.
To improve the accuracy in the estimation of the PV module output using the proposed model, the nominal operating cell temperature (NOCT) is considered. The results of the proposed model are verified with the experimental output of two (one 315 Wp and another 3 Wp) PV modules, which shows better correlation with the proposed model considering NOCT.
In [ 24, 25 ], PV parameters are extracted by collecting some experimental points on I–V characteristics. In [ 25 ], the parameter search space dimension is reduced from 5 to 2 by categorising the parameters into dependent and independent parameters, which needs a very good initial guess of some operating data.
