Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tassneem Zamzam"'
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Autor:
Mohamed Massaoudi, Tassneem Zamzam, Maymouna Ez Eddin, Ali Ghrayeb, Haitham Abu-Rub, Shady Khalil
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 5, Pp 267-282 (2024)
The transient power grid stability is greatly affected by the unpredictability of inverter-based resources of today's interconnected power grids. This article introduces an efficient transient stability status prediction method based on deep temporal
Externí odkaz:
https://doaj.org/article/5b7fc04481404772b7d187f26b63ee70
Publikováno v:
Sensors, Vol 23, Iss 16, p 7216 (2023)
Modern active distribution networks (ADNs) witness increasing complexities that require efforts in control practices, including optimal reactive power dispatch (ORPD). Deep reinforcement learning (DRL) is proposed to manage the network’s reactive p
Externí odkaz:
https://doaj.org/article/d8120d0f04904daca43c171ac18f251b
Publikováno v:
Electric Power Systems Research. 207:107843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3eb2259e33f7afe88ec193a0236e70f
https://doi.org/10.1016/j.epsr.2022.107843
https://doi.org/10.1016/j.epsr.2022.107843
Publikováno v:
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).
Electric Vehicles (EV) nowadays are an attractive means of transportation, as they do not emit harmful gasses. Charging of EVs can be achieved through either direct contact or contactless approaches. Contactless charging approach, as Inductive Power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17298fc90e88c81b5c8e03cf31f542c6
https://doi.org/10.1109/iscaie.2018.8405461
https://doi.org/10.1109/iscaie.2018.8405461