Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jalal Heidary"'
Autor:
Soheil Rahnamayian Jelodar, Jalal Heidary, Reza Rahmani, Behrooz Vahidi, Hossein Askarian‐Abyaneh
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 15, Pp 2521-2542 (2024)
Abstract There is a change in the traditional power system structure as a result of the increased incorporation of microgrids (MGs) into the grid. Multi‐area MGs will emerge as a result, and issues related to them will need to be addressed. Load fr
Externí odkaz:
https://doaj.org/article/9af942a109b5452c9662aab6d04b039a
Autor:
Jalal Heidary, Hassan Rastegar
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 9, Iss 1, Pp 1-24 (2022)
Abstract This paper proposes a novel load frequency control (LFC) approach formulated on an optimal structure of the coefficient diagram method (CDM) in a two-area thermal power system. As part of a realistic analysis, nonlinearities related to gover
Externí odkaz:
https://doaj.org/article/8d0a666a95004588beec736d47d1df0e
Publikováno v:
Heidary, J, Gheisarnejad Chirani, M & Khooban, M H 2023, ' Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control ', Electric Power Systems Research . https://doi.org/10.1016/j.epsr.2022.109105
This paper presents a control method based on active disturbance rejection control (ADRC) for both the primary and secondary control layers in a hybrid DC/AC microgrid (MG). A DC bus inside MG includes a wind turbine generator, photovoltaic panels, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722585a672a2c981d38d5b2605c2cfb0
https://doi.org/10.1016/j.epsr.2022.109105
https://doi.org/10.1016/j.epsr.2022.109105
Autor:
Jalal Heidary, Hassan Rastegar
Publikováno v:
2022 IEEE Kansas Power and Energy Conference (KPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ef86f8c4b5cbbd8bc82081f85df005
https://doi.org/10.1109/kpec54747.2022.9814810
https://doi.org/10.1109/kpec54747.2022.9814810
Publikováno v:
Heidary, J, Gheisarnejad Chirani, M, Rastegar, H & Khooban, M H 2022, ' Survey on microgrids frequency regulation : Modeling and control systems ', Electric Power Systems Research, vol. 213, 108719 . https://doi.org/10.1016/j.epsr.2022.108719
The traditional power system structure is constantly changing due to the application of renewable energy sources (RESs) and microgrids (MGs) into the power system network. Due to the variations in demand and renewable generation profiles, load freque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f678909d4aba2cb1da5a6673ad0bd3a
https://doi.org/10.1016/j.epsr.2022.108719
https://doi.org/10.1016/j.epsr.2022.108719
Publikováno v:
2014 Smart Grid Conference (SGC).
In this study, optimal sizing and scheduling of cogeneration based hybrid system is done to economically meet electrical and thermal demands simultaneously. Demands can be met by grid or distributed generation (DG) resources. In order to come closer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24098f637193d4b1bfe6730d39845704
https://doi.org/10.1109/sgc.2014.7150711
https://doi.org/10.1109/sgc.2014.7150711
Autor:
Rahnamayian Jelodar, Soheil, Heidary, Jalal, Rahmani, Reza, Vahidi, Behrooz, Askarian‐Abyaneh, Hossein
Publikováno v:
IET Generation, Transmission & Distribution (Wiley-Blackwell); Aug2024, Vol. 18 Issue 15, p2521-2542, 22p
Autor:
Heidary, Jalal, Rastegar, Hassan
Publikováno v:
Journal of Electrical Systems & Information Technology; Dec2022, Vol. 9 Issue 1, p1-24, 24p
Autor:
Mohammad-Hassan Khooban
Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence techniques to present deep machine learning suitable for the complexity of sustainable energy systems. The first two chapters take the
