Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sina Zarrabian"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 3, Pp 298-308 (2022)
The voltage source inverters in microgrids often rely on the droop control method integrated with voltage and inner current control loops in order to provide a reliable electric power supply. This research aims to present a Cascade-Forward Neural Net
Externí odkaz:
https://doaj.org/article/0f5d7015e4064ae6b09103c8fb615d38
Autor:
Brook W. Abegaz, Sina Zarrabian
Publikováno v:
International Transactions on Electrical Energy Systems. 2022:1-13
The state-estimation and optimal control of multigeneration systems are challenging for wide-area systems having numerous distributed automatic voltage regulators (AVR). This paper proposes a modified Q-learning method and algorithm that aim to impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a46a59fec4f609e76e7444d94b1d81a1
https://doi.org/10.1155/2022/3047761
https://doi.org/10.1155/2022/3047761
Publikováno v:
IEEE Transactions on Smart Grid. 9:373-385
Cascading failures (CF) is complex in nature and difficult to accurately model or solve mathematically. The current industry approach to preventing CF, which leads to blackout event, involves incurring losses. In this paper, a technique based on an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031034a9db34ec835a38286fe08f6063
https://doi.org/10.1109/tsg.2016.2553146
https://doi.org/10.1109/tsg.2016.2553146
Publikováno v:
Engineering Applications of Artificial Intelligence. 57:118-133
Artificial intelligent algorithms have found a wide-range of applications in power systems, especially in solving long-existing problems immune to non-intelligent algorithms. Cascading Failures (CF), one of such problems, require load shedding as a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f66394c24ba35ac40e52892e7bcdf3
https://doi.org/10.1016/j.engappai.2016.09.003
https://doi.org/10.1016/j.engappai.2016.09.003
Autor:
Sina Zarrabian
Publikováno v:
2019 IEEE Power & Energy Society General Meeting (PESGM).
In this paper, a new hybrid approach is presented for optimal placement and operation of GUPFC to damp inter-area oscillations in power systems. A linearized multi-machine model including GUPFC is achieved. Modal participation factors approach integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30266ef3ba5f1ae688a3252ca78cf268
https://doi.org/10.1109/pesgm40551.2019.8974075
https://doi.org/10.1109/pesgm40551.2019.8974075
Publikováno v:
Electric Power Systems Research. 141:179-190
This article proposes a method based on the reinforcement learning (RL) for preventing cascading failure (CF) and blackout in smart grids by acting on the output power of the generators in real-time. The proposed research work utilizes the Q-learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c4abdde592e49d117405fe60bfd002b
https://doi.org/10.1016/j.epsr.2016.06.041
https://doi.org/10.1016/j.epsr.2016.06.041
Publikováno v:
International Journal of Emerging Electric Power Systems. 17:703-716
In this paper, a novel intelligent control is proposed based on Artificial Neural Networks (ANN) to mitigate cascading failure (CF) and prevent blackout in smart grid systems after N-1-1 contingency condition in real-time. The fundamental contributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c335bae1693fa6e308c0334e71b95dcd
https://doi.org/10.1515/ijeeps-2016-0039
https://doi.org/10.1515/ijeeps-2016-0039
Publikováno v:
2018 IEEE Power & Energy Society General Meeting (PESGM).
The use of regenerative braking within the industry of transportation has recently garnered interest within the maritime industry. This paper presented a novel technique for regerneartive breaking with applications to maritime industry. The dynamic b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e8ac8d704a6737de0d7ca51bad58a7
https://doi.org/10.1109/pesgm.2018.8586062
https://doi.org/10.1109/pesgm.2018.8586062
Autor:
Sina Zarrabian
Publikováno v:
2017 IEEE Power & Energy Society General Meeting.
Temporal Difference (TD) as a powerful approach is a well-known reinforcement learning (RL) method based on machine learning concept. Bulk power systems with sophisticated traditional controls and low reliability are suffering extremely from instabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fb5e34277ee4a2043f185a7ebd77b5c
https://doi.org/10.1109/pesgm.2017.8274439
https://doi.org/10.1109/pesgm.2017.8274439
Publikováno v:
2016 IEEE Power and Energy Conference at Illinois (PECI).
In this paper, a novel application of Artificial Neural Networks (ANN) is deployed to prevent blackout in a microgrid after N-1-1 contingency condition. In fact, microgrids are vulnerable to disturbances and abnormal conditions due to their inherent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c982c0341aaf07d9ed428f799d6f7cb
https://doi.org/10.1109/peci.2016.7459213
https://doi.org/10.1109/peci.2016.7459213