Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohamed A. Almozayen"'
Autor:
Mohamed A. Almozayen, Andrew M. Knight
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 4, Pp 87-98 (2023)
Cosimulation studies of electric power systems and electric machines have always been a challenge. In order to reduce the simulation time to a reasonable value, lumped-parameter electric machine models are commonly used in electric power system model
Externí odkaz:
https://doaj.org/article/c30e8fe979354796b56c4f18f632e401
Autor:
Mohamed A. Almozayen, Andrew M. Knight
Publikováno v:
IEEE Access, Vol 10, Pp 65913-65924 (2022)
This paper presents a new technique for quantifying the winding Magneto-Motive Force (MMF) space harmonics of wind-driven Doubly-Fed Induction Generator (DFIG) for power quality assessments. Instead of following the commercial electromagnetic transie
Externí odkaz:
https://doaj.org/article/785cb4fe5e78483ba9cf5e9da5f23b74
Autor:
Mohamed A. Almozayen, Andrew M. Knight
Publikováno v:
2022 International Conference on Electrical Machines (ICEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::257f409dd99503db3c08616739268093
https://doi.org/10.1109/icem51905.2022.9910658
https://doi.org/10.1109/icem51905.2022.9910658