@inproceedings{1ae0a21f8cbd4480bb335ff9cfc41989,
title = "A novel swarm intelligence optimization based predictive control of PV systems for complex conditions",
abstract = "At present, a lot of research work has been carried out to develop more complex MPPT algorithms. The computational burden, validity range and convergence speed of these algorithms are completely different and depend on the theoretical method used. In order to overcome the above limitations, this article aims to study the effectiveness of the MPPT method based on Swarm intelligence and predictive control. This work has studied the benefits of the novel implementation of the global MPPT algorithm through detailed analysis based on numerical simulations and highlighted its effectiveness and applicability when applied to photovoltaic systems in actual changing environments. The purpose of this method is to provide no information about the solar irradiance distribution and temperature on the components and when to provide the information. Under the circumstances, the maximum power of the photovoltaic system can be tracked quickly and accurately.",
keywords = "energy efficiency, metaheuristic method, photovoltaic systems, predictive control, swarm intelligence",
author = "Yingxue Chen and Linfeng Gou and Chujia Sun",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 ; Conference date: 13-10-2021 Through 16-10-2021",
year = "2021",
month = oct,
day = "13",
doi = "10.1109/IECON48115.2021.9589973",
language = "英语",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society",
}
