Parameter Estimation of Photovoltaic Model, Using Balancing Composite Motion Optimization
Nguyễn Ngọc Sơn, Lưu Thế Vinh
Abstract
This paper investigates the dynamic parametric estimation of a solar cell system, by using balancing composite motions optimization (BCMO).The BCMO technique was first online published in 2019, the main idea is to balance composite motion properties of individuals in solution space, to equalize global and local searchability.To evaluate the performance of BCMO, experimental tests are carried out in photovoltaic cell parameters estimation of R.T.C.France which is collected under 1000 W/m 2 at 33 o C, by changing the population size of BCMO.And then, the performance of BCMO is compared with wellestablished parameters estimation methods in terms of convergence speed, computation time, and RMSE value.The results demonstrate that the proposed approach can be accurately estimated for photovoltaic model parameters.