Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammad K. Al-Smadi"'
Publikováno v:
Modelling, Vol 5, Iss 1, Pp 339-351 (2024)
The on-chip integration of a power inductor together with other power converter components of small sizes and high-saturation currents, while maintaining a desired or high inductance value, is here pursued. The use of soft magnetic cores increases in
Externí odkaz:
https://doaj.org/article/c77e912fc1ac47ed9c743b06ae44f55e
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 5, Pp 939-951 (2021)
Abstract Predicting the output power of partially‐shaded photovoltaic (PV) systems has a crucial role in the field of photovoltaic system studies and design. A significant number of models, circuit simulation techniques and power prediction formula
Externí odkaz:
https://doaj.org/article/b7bac04653b447ef879ece2301c23aa8
Publikováno v:
IEEE Transactions on Power Electronics. 38:1610-1621
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49a105a29997f383286684f6ec7f6c95
https://doi.org/10.1109/tpel.2022.3211905
https://doi.org/10.1109/tpel.2022.3211905
Publikováno v:
2023 IEEE Applied Power Electronics Conference and Exposition (APEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95bac5cc1ce7891568e60e2df6b16bb
https://doi.org/10.1109/apec43580.2023.10131569
https://doi.org/10.1109/apec43580.2023.10131569
Publikováno v:
2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ade26314539119a34583f64906ba8ee0
https://doi.org/10.1109/cpere56564.2023.10119572
https://doi.org/10.1109/cpere56564.2023.10119572
Publikováno v:
2022 IEEE Energy Conversion Congress and Exposition (ECCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8a09224db994e8c18627473786ee7f
https://doi.org/10.1109/ecce50734.2022.9948069
https://doi.org/10.1109/ecce50734.2022.9948069
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 5, Pp 939-951 (2021)
Predicting the output power of partially‐shaded photovoltaic (PV) systems has a crucial role in the field of photovoltaic system studies and design. A significant number of models, circuit simulation techniques and power prediction formulations are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2334fb833afd9f3102cb90c0a2b09e
https://doaj.org/article/b7bac04653b447ef879ece2301c23aa8
https://doaj.org/article/b7bac04653b447ef879ece2301c23aa8
Autor:
Mohammad K. Al-Smadi, Yousef Mahmoud
Publikováno v:
2019 International Conference on Clean Electrical Power (ICCEP).
The productivity of photovoltaic (PV) system is highly affected by the environmental conditions. The impact of partial shading conditions (PSC) on PV systems with various topologies is not necessarily the same. It is essential to demonstrate the role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47bded33d746e88adcfdea7764db92df
https://doi.org/10.1109/iccep.2019.8890218
https://doi.org/10.1109/iccep.2019.8890218
Autor:
Yousef Mahmoud, Mohammad K. Al-Smadi
Publikováno v:
IECON
Photovoltaic (PV) system characteristics are significantly affected by shading conditions and thus the power productivity of the system is subject to vary accordingly. Therefore, this triggers the need for a broad understanding for the power losses c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d6008cb1294a7c3f2f5e5dd362d56ad
https://doi.org/10.1109/iecon.2018.8591806
https://doi.org/10.1109/iecon.2018.8591806
Publikováno v:
IECON
The highly nonlinear, stochastic nature of photovoltaic (PV) systems impose difficulty in modeling and control design. The controller is employed to efficiently adjust the operating point decided by maximum power point tracking (MPPT) algorithm inste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05dcc48ed2d62c440081297498e0bacc
https://doi.org/10.1109/iecon.2018.8591393
https://doi.org/10.1109/iecon.2018.8591393