Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Mostafa Sahraei-Ardakani"'
Publikováno v:
International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 776-792 (2023)
Kuwait’s policy of achieving 15% renewable energy by 2030, announced in 2012, has been diverted from its original intent. Today, Kuwait’s renewable energy goal is to meet 15% of its projected peak load by 2030. To examine the actual outcomes, a c
Externí odkaz:
https://doaj.org/article/97b957f24f0248a889798427b47d9169
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 6, Pp 1047-1063 (2022)
Abstract This paper presents injection‐shift‐factor‐based linear modelling for various types of series flexible ac transmission system (FACTS) devices within the DC power flow framework. The presented models allow FACTS devices to be properly i
Externí odkaz:
https://doaj.org/article/38fc0ce5d54a407594c461747fc10d1f
Autor:
Yuxi Liu, Jie Zhu, Yuanrui Sang, Mostafa Sahraei-Ardakani, Tianjun Jing, Yongning Zhao, Yingying Zheng
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
High penetration of electric vehicles (EVs) in an uncontrolled manner could have disruptive impacts on the power grid, however, such impacts could be mitigated through an EV demand response program. The successful implementation of an efficient, effe
Externí odkaz:
https://doaj.org/article/e81fa5b7e2b545a7b7129b7e70d3f19d
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 8, Pp 1357-1370 (2021)
Abstract Severe weather threatens the reliability of the power supply by damaging the network. In the case of hurricanes, tens of elements may fail, which would lead to power outages. Under such circumstances, preventive unit commitment methods can m
Externí odkaz:
https://doaj.org/article/be5c242c0da94506919b9b2d88c35e02
Publikováno v:
IEEE Access, Vol 8, Pp 115078-115088 (2020)
Many foreseeable natural hazards, including extreme weather events, lead to an outage of multiple transmission lines. Although such outages can be predicted in advance, there is a great deal of uncertainty in these predictions. To appropriately use t
Externí odkaz:
https://doaj.org/article/e9937ffaec164be0b2ab34889683c4d5
Publikováno v:
IET Generation, Transmission & Distribution. 16:1047-1063
Machine Learning Assisted Stochastic Unit Commitment During Hurricanes With Predictable Line Outages
Publikováno v:
IEEE Transactions on Power Systems. 36:5131-5142
Stochastic unit commitment is an efficient method for grid operation in the presence of significant uncertainties. An example is an operation during a predicted hurricane with uncertain line out-ages. However, the solution quality comes at the cost o
Publikováno v:
2022 North American Power Symposium (NAPS).
Publikováno v:
2022 North American Power Symposium (NAPS).
Publikováno v:
2022 North American Power Symposium (NAPS).