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Hybrid Symbiotic Differential Evolution Moth -Flame Optimization Algorithm for Estimating Parameters of Photovoltaic Models
2020
IEEE Access
Obtaining suitable parameters of photovoltaic models based on measured current-voltage data of the PV system is vital for assessing, controlling, and optimizing photovoltaic systems. To acquire specific parameters of photovoltaic models, we proposed a meta-heuristic algorithm named hybrid symbiotic differential evolution moth-flame optimization (HSDE-MFO) algorithm. The proposed algorithm implements our new proposed symbiotic algorithm structure (SAS). This structure is inspired by
doi:10.1109/access.2020.3005711
fatcat:2tfhtcultnbslg7s66jdhrqcyq