Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Karam Khairullah Mohammed"'
Autor:
Abdulbari Talib Naser, Karam Khairullah Mohammed, Nur Fadilah Ab Aziz, Ahmed Elsanabary, Karmila Binti Kamil, Saad Mekhilef
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 10, Pp 102967- (2024)
The presence of weather variations poses a significant challenge for photovoltaic (PV) systems in achieving maximum power during maximum power point tracking (MPPT), especially under partial shading conditions (PSCs). To prevent the hotspot phenomeno
Externí odkaz:
https://doaj.org/article/e9cee5d6c4eb48c5a49496643afa18c4
Autor:
Abdulbari Talib Naser, Karam Khairullah Mohammed, Nur Fadilah Ab Aziz, Karmila binti Kamil, Saad Mekhilef
Publikováno v:
Energy Conversion and Management: X, Vol 22, Iss , Pp 100565- (2024)
Solar power is considered one of the most common renewable energy sources. However, the effective harnessing of maximum solar energy in photovoltaic (PV) systems faces a significant challenge due to weather fluctuations. This challenge becomes partic
Externí odkaz:
https://doaj.org/article/7b4df9428b84434f82f6f57c16327098
Publikováno v:
IEEE Access, Vol 11, Pp 76166-76176 (2023)
Photovoltaic (PV) systems provide a reliable green energy solution by improving the maximum power point tracking (MPPT) methods to achieve maximum power under various weather conditions. Among the MPPT algorithms, the perturb and observe (P&O) algori
Externí odkaz:
https://doaj.org/article/c189897721824ea4bf256e820764d5d6
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 10:4821-4831
The conventional maximum power point tracking (MPPT) controllers are unable to track the global maximum power point (GMPP) during partial shading conditions (PSCs). As a result, many optimization strategies have been used to track the GMPP. Optimizat
Autor:
Ali Abbawi Mohammed Alabbawi, Ibrahim Ismael Alnaib, Omar Sharaf Al-Deen Yehya Al-Yozbaky, Karam Khairullah Mohammed
This study proposes an intelligent protection relay design that uses artificial neural networks to secure electrical parts in power infrastructure from different faults. Electrical transformer and transmission lines are protected using intelligent di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b22c2726b0cbe82586359f0b1b3eda96
https://zenodo.org/record/7613892
https://zenodo.org/record/7613892
Publikováno v:
IEEE Transactions on Sustainable Energy. :1-13
Publikováno v:
2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE).
Publikováno v:
2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT).
Autor:
Karam Khairullah Mohammed, Salinda Buyamin, Saad Mekhilef, Norzanah Rosmin, Mohamad Amir Shamsudin
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811939228
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3633e04e6f4b15c6a5ab4a39b67bec
https://doi.org/10.1007/978-981-19-3923-5_32
https://doi.org/10.1007/978-981-19-3923-5_32
Publikováno v:
International Transactions on Electrical Energy Systems. 31