科研之友
微信
新浪微博
Facebook
分享链接
摘要
Parameter estimation of photovoltaic (PV) cell models using a novel Elite Opposition-based Jaya (EO-Jaya) algorithm is studied in this letter. The EO-Jaya is a swarm intelligence algorithm without algorithm specific parameters. Compared with the generic Jaya algorithm, the Elite Opposition Learning strategy is incorporated into the solution updating phase, which increases the solution diversity. The effectiveness of the EO-Jaya algorithm is validated via estimating model parameters of a real PV cell. The computational results prove the superiority of the proposed algorithm compared to newly published estimation methods.
