An effective hybrid approach based control for the MPPT of PV system under partial shading condition for indoor energy harvesting in smart homes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15069-7.pdf
Reference34 articles.
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2. Abualigah L, Yousri D, Elaziz MA, Ewees AA, Al-qaness MAA, Gandomi AH (2021) Aquila optimizer: a novel meta-heuristic optimization Algorithm. Comput Industr Eng 157:107250
3. Ahmed J, Salam Z (2015) A critical evaluation on maximum power point tracking methods for partial shading in PV systems. Renew Sust Energ Rev 47:933–953. https://doi.org/10.1016/j.rser.2015.03.080
4. Avila L, De Paula M, Trimboli M, Carlucho I (2020) Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids. Appl Soft Comput, Page:106711. https://doi.org/10.1016/j.asoc.2020.106711
5. Chowdhury SR, Saha H (2010) Maximum power point tracking of partially shaded solar photovoltaic arrays. Solar Energ Mater Solar Cells 94:1441–1447. https://doi.org/10.1016/j.solmat.2010.04.011
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