Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mohammad Mansourlakouraj"'
Autor:
Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani
Publikováno v:
IEEE Access, Vol 12, Pp 5222-5236 (2024)
The integration of distributed energy resources (DERs) into the power grid has made it important for distribution systems to participate in frequency regulation. Regulatory authorities (e.g., Federal Electricity Regulatory Commission in the United St
Externí odkaz:
https://doaj.org/article/658a6e2002c54f4693341ee112c6b41e
Publikováno v:
IEEE Access, Vol 11, Pp 54822-54838 (2023)
The ever-increasing penetration of intermittent renewable resources in low-voltage power grids necessitates efficient operational strategies for voltage regulation as well as power scheduling of the available resources. In this paper, a risk-aware Vo
Externí odkaz:
https://doaj.org/article/f4036d1f30e8492d8ab501668f56ec01
Publikováno v:
IEEE Access, Vol 11, Pp 111466-111491 (2023)
With the ever-increasing development of microgrids to improve power supply reliability and resilience, large-signal stability analysis of microgrids is needed to provide accurate insights into system dynamics during significant disturbances and to of
Externí odkaz:
https://doaj.org/article/ba5558444bd341d9acf95bc4e3a892e1
Publikováno v:
IEEE Transactions on Industry Applications. 59:2661-2670
Publikováno v:
2023 IEEE Texas Power and Energy Conference (TPEC).
Publikováno v:
2023 IEEE Texas Power and Energy Conference (TPEC).
Autor:
Mohammad MansourLakouraj, Mukesh Gautam, Rakib Hossain, Hanif Livani, Mohammed Benidris, Sesh Commuri
Publikováno v:
2022 IEEE Industry Applications Society Annual Meeting (IAS).
Publikováno v:
2022 North American Power Symposium (NAPS).
Publikováno v:
2022 IEEE Industry Applications Society Annual Meeting (IAS).
Autor:
Rakib Hossain, Mukesh Gautam, Mohammad MansourLakouraj, Hanif Livani, Mohammed Benidris, Yahia Baghzouz
Modern distribution networks are undergoing several technical challenges, such as voltage fluctuations, because of high penetration of distributed energy resources (DERs). This paper proposes a deep reinforcement learning (DRL)-based Volt- VAR co-opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e5beef50dfa08d2b5402b7fff94846e
https://doi.org/10.36227/techrxiv.21114094.v1
https://doi.org/10.36227/techrxiv.21114094.v1