Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abdallah El-Marhomy"'
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 5, Pp 3897-3912 (2022)
The efficiency of wind energy conversion systems (WECS) relies mainly on the robustness of the controllers. Thus, the paper presents a comparative study between a new adaptive PI blade angle controller initialized by hybrid harmony search algorithm (
Externí odkaz:
https://doaj.org/article/ebb6e1aed8f4443eb0a13066d9a1ba0b
Publikováno v:
Ain Shams Engineering Journal, Vol 13, Iss 6, Pp 101782- (2022)
The raised pollution census and the electricity demand–supply gab are significantly increasing the investments in the wind energy (WE). Thus, the paper is dedicated to the wind farm blade angle controllers’ efficiency. This efficiency is increase
Externí odkaz:
https://doaj.org/article/95d07ad804984d68ace581c19547403b
Autor:
Ahmed M. Shawqran, Abdallah El-Marhomy, Mahmoud A. Attia, Almoataz Y. Abdelaziz, Hassan Haes Alhelou
Publikováno v:
Heliyon, Vol 7, Iss 10, Pp e08239- (2021)
Wind energy is considered as one of the rapidest rising renewable energy systems. Thus, in this paper the wind energy performance is enhanced through using a new adaptive fractional order PI (AFOPI) blade angle controller. The AFOPI controller is bas
Externí odkaz:
https://doaj.org/article/70e464bf47644e70ae5162443fecf19f
Publikováno v:
Energies, Vol 14, Iss 20, p 6798 (2021)
Power quality can have a large detrimental effect on industrial processes and the commercial sector. Thus, this paper proposes a new technique to improve the power quality of electric power systems. This technique relies on auto-adjusting of the blad
Externí odkaz:
https://doaj.org/article/4f957f57cdb9475e891aa30999776594
Autor:
Omar M. Saber, Abdallah El-Marhomy, Mahmoud A. Attia, Almoataz Y. Abdelaziz, Kumari Sarita, Aanchal Singh S. Vardhan, Akanksha Singh S. Vardhan, R. K. Saket
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811673290
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e080bbff353bfaf6201e848735290e36
https://doi.org/10.1007/978-981-16-7330-6_62
https://doi.org/10.1007/978-981-16-7330-6_62
Autor:
Ahmed M. Shawqran, Abdallah El-Marhomy, Mahmoud A. Attia, Almoataz Y. Abdelaziz, Aanchal Singh S. Vardhan, Akanksha Singh S. Vardhan, R. K. Saxena, R. K. Saket
Publikováno v:
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811664069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e27ded40e0f6102dffaaa0132d662fd2
https://doi.org/10.1007/978-981-16-6407-6_20
https://doi.org/10.1007/978-981-16-6407-6_20
Publikováno v:
Energies
Volume 14
Issue 20
Energies, Vol 14, Iss 6798, p 6798 (2021)
Volume 14
Issue 20
Energies, Vol 14, Iss 6798, p 6798 (2021)
Power quality can have a large detrimental effect on industrial processes and the commercial sector. Thus, this paper proposes a new technique to improve the power quality of electric power systems. This technique relies on auto-adjusting of the blad
Publikováno v:
Ain Shams Engineering Journal, Vol 10, Iss 1, Pp 129-149 (2019)
The inverted pendulum (IP) is a common classical control theory problem. Many controllers are used to keep the pendulum rod upraise via the control the position of the cart. In this paper, Modelling of IP system is carried out and then verifies the m
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030697167
AMLTA
AMLTA
Pitch controlled wind turbines (WT) are used for large scale wind energy conversion systems. Thus, a new pitch angle control system is presented in this paper based on adaptive PI controller. The controller relies on different optimization algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85cf0fe09d83a9fff3a39bf0eb8a0191
https://doi.org/10.1007/978-3-030-69717-4_63
https://doi.org/10.1007/978-3-030-69717-4_63
Publikováno v:
2020 15th International Conference on Computer Engineering and Systems (ICCES).
Wind energy is one of the fastest-growing energy sources of green energy in the world. Research efforts are aimed to address the challenges to greater use of wind energy. Thus, the paper presents a blade angle control based on a new modified adaptive