Tutkun, NedimGegin, KezibanSarma, NurSalam, Z.2020-04-302020-04-302018978-1-5386-5686-02157-4839https://hdl.handle.net/20.500.12684/3202IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) -- OCT 07-10, 2018 -- Kota Kinabalu, MALAYSIAWOS: 000455030900038In PV systems, it is usually expected that power generation under varying conditions at any time should be maximum as much as possible. Therefore, it is essential to build a circuit model based on a widely used single or double diode model under instantly varying conditions with minimum estimation error through the measured values in the manufacturers' data sheet. It is fact that these approximate circuits models ease the performance analysis of PV systems if the unknown parameters are accurately estimated at various temperatures and unchanged irradiance levels or vice versa. This paper comparatively studies the performances of the two approximate circuit models for the four types of PV modules using the real-coded genetic algorithms. The results indicated that I-V characteristics obtained from the identified parameters exhibit almost similar trend with those given in manufacturers' data sheets under the same conditions. Besides, the estimated parameters obtained from using both models slightly show difference from each other and it can be said that the single diode model is solely satisfactory to model a typical PV model as long as they are accurately estimated.eninfo:eu-repo/semantics/closedAccessdouble diode circuit modelgenetic algorithm optimizationPV-Battery systemsingle diode circuit modelConference ObjectN/AN/A