WBG Devices Efficiency and Application in PV System-Based Neural Network MPPT Controller
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2777-7_37
Reference11 articles.
1. M. Das, V. Agarwal, Novel high-performance stand-alone solar PV system with high-gain high-efficiency DC-DC converter power stages. IEEE Trans. Ind. Appl. 51(6), 4718–4728 (2015). https://doi.org/10.1109/TIA.2015.2454488
2. M.M. Eshak, M.A. Khafagy, P. Makeen, S.O. Abdellatif, Optimizing the performance of a stand-alone PV system under non-uniform irradiance using Gray-Wolf and hybrid neural network AI-MPPT algorithms, in 2nd Novel Intelligent and Leading Emerging Sciences Conference NILES 2020 (2020), pp. 600–605. https://doi.org/10.1109/NILES50944.2020.9257965
3. M. Kamran, M. Mudassar, M.R. Fazal, M.U. Asghar, M. Bilal, R. Asghar, Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system. J. King Saud Univ. Eng. Sci. 32(7), 432–441 (2020). https://doi.org/10.1016/j.jksues.2018.04.006
4. E. Bouchetob, B. Nadji, Using ANN based MPPT controller to increase PV central performance, in 2022 2nd International Conference on Advanced Electrical Engineering ICAEE 2022 (2022). https://doi.org/10.1109/ICAEE53772.2022.9961982
5. S.S. Alharbi, S.S. Alharbi, A.M.S. Al-Bayati, M. Matin, Design and performance evaluation of a DC–DC buck–boost converter with cascode GaN FET, SiC JFET, and Si IGBT power devices
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