Experimental Assessment of a Tiny AI-Empowered Output Filter Parameter Extraction Framework for Digital Power

Autor: Kelvin Yi-Wen Hong, Henry Shu-Hung Chung, Yangxiao Xiang, Alan Wai-Lun Lo

Publikováno v: IEEE Access, Vol 11, Pp 14728-14741 (2023)

An experimental assessment of a “plug-and-play” tiny artificial-intelligence-empowered output filter parameter extraction framework for digital power is presented. The framework can be incorporated into an existing digital controller to perform o

Externí odkaz: https://doaj.org/article/ba989025881b45b6ab6eda7c4e8c3a7b

'Plug-and-Play' Tiny AI-Empowered Output Filter Parameter Extraction Framework with Single RNN Cell for Digital Power

Autor: Huai Wang, Henry Shu-Hung Chung, Alan Wai-Lun Lo, Kelvin Yi-Wen Hong

Publikováno v: Hong, K Y W, Chung, H S H, Lo, A W L & Wang, H 2021, 'Plug-and-Play' Tiny AI-Empowered Output Filter Parameter Extraction Framework with Single RNN Cell for Digital Power . in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021-Proceedings . IEEE, IEEE Energy Conversion Congress and Exposition, pp. 2755-2761, 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021, Virtual, Online, Canada, 10/10/2021 . https://doi.org/10.1109/ECCE47101.2021.9595594

A 'plug-and-play' tiny artificial intelligence (AI)-empowered output filter parameter extraction framework for digital power is presented. It can be integrated into existing digital power readily without introducing extra sensors. The framework aims

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2b39f5551b7aa5a9c1c93c0a97a9a4
https://doi.org/10.1109/ecce47101.2021.9595594

Diagnostic module for series-connected photovoltaic panels

Autor: Huai Wang, Henry Shu-Hung Chung, Alan Wai lun Lo, Martin Garaj, Kelvin Yi-Wen Hong

Publikováno v: Garaj, M, Hong, K Y, Chung, H S H, Lo, A W L & Wang, H 2020, ' Diagnostic module for series-connected photovoltaic panels ', Solar Energy, vol. 196, pp. 243-259 . https://doi.org/10.1016/j.solener.2019.12.019

An online diagnostic module for condition monitoring of two series-connected photovoltaic panels is presented. The technique is based on firstly perturbing the terminal voltages and currents of the panels with a switched-inductor circuit, which can a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12a7a0be940ffdaa264e45ff3caf1bd5
https://vbn.aau.dk/da/publications/f6f0763c-1ad9-4fec-903f-e6beb1db46d5

Analysis of solar panel’s lumped equivalent circuit parameters using LASSO

Autor: Martin Garaj, Huai Wang, Alan Wai-Lun Lo, Henry Shu-Hung Chung

Publikováno v: Garaj, M, Chung, H S H, Wai-Lun Lo, A & Wang, H 2019, Analysis of solar panel’s lumped equivalent circuit parameters using LASSO . in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 ., 8912913, IEEE, IEEE Energy Conversion Congress and Exposition, pp. 3427-3432, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 29/09/2019 . https://doi.org/10.1109/ECCE.2019.8912913

The power output of a solar panel depends on the level of degradation and external factors, such as temperature and solar irradiation. The changes in the power output caused by temperature and irradiation fluctuations coincide with the changes due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1708e5734ea2f4d45c868884fd4d7db
https://doi.org/10.1109/ecce.2019.8912913

A Modular and Scalable Structure Using Multiparallel-Connected Series-Voltage Compensators for Supply Voltage Regulation

Autor: Alan Wai-Lun Lo, Victor Sui-pung Cheung, Henry Shu-Hung Chung

Publikováno v: IEEE Transactions on Power Electronics. 31:4096-4110

A modular and scalable voltage-regulation structure for enhancing service continuity and flexibly changing the system power rating is proposed. The methodology is based on paralleling multiple series-voltage compensators, namely multiparallel-connect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e4168cd4691968c2fac3c5306627cc0
https://doi.org/10.1109/tpel.2015.2469156