Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sadeq D. Al-Majidi"'
Publikováno v:
Energies, Vol 17, Iss 17, p 4301 (2024)
A photovoltaic (PV) power forecasting prediction is a crucial stage to utilize the stability, quality, and management of a hybrid power grid due to its dependency on weather conditions. In this paper, a short-term PV forecasting prediction model base
Externí odkaz:
https://doaj.org/article/305141cf196f46c8830a3c612d80499b
Autor:
Sadeq D. Al-Majidi, Hisham Dawood Salman Altai, Mohammed H. Lazim, Mohammed Kh. Al-Nussairi, Maysam F. Abbod, Hamed S. Al-Raweshidy
Publikováno v:
Energies, Vol 16, Iss 6, p 2802 (2023)
The frequency diversion in hybrid power systems is a major challenge due to the unpredictable power generation of renewable energies. An automatic generation controller (AGC) system is utilised in a hybrid power system to correct the frequency when t
Externí odkaz:
https://doaj.org/article/2e5fb99af2f147298d942964886bf0ed
Autor:
Sadeq D. Al-Majidi, Mohammed Kh. AL-Nussairi, Ali Jasim Mohammed, Adel Manaa Dakhil, Maysam F. Abbod, Hamed S. Al-Raweshidy
Publikováno v:
Energies, Vol 15, Iss 17, p 6223 (2022)
A load frequency controller (LFC) is a crucial part in the distribution of a power system network (PSN) to restore its frequency response when the load demand is changed rapidly. In this paper, an artificial neural network (ANN) technique is utilised
Externí odkaz:
https://doaj.org/article/8e0872f94a364464bff0b0f3f1db1cd3
Autor:
Ali Jasim Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, Maysam F. Abbod, Hamed S. Al-Raweshidy
Publikováno v:
2022 57th International Universities Power Engineering Conference (UPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b81295ab1db8c8181395351b9c96f377
https://doi.org/10.1109/upec55022.2022.9917853
https://doi.org/10.1109/upec55022.2022.9917853
Publikováno v:
2021 10th International Conference on Renewable Energy Research and Application (ICRERA).
In interconnected power system of single area network, the generator unit provides a power to various feeding consumers during time. Consequently, the generating frequency varies over the time when the connected load of the consumers changes. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e0b5da626e86192b444d9089652ebaa
https://doi.org/10.1109/icrera52334.2021.9598593
https://doi.org/10.1109/icrera52334.2021.9598593
Publikováno v:
2021 56th International Universities Power Engineering Conference (UPEC).
The connections of roof-top photovoltaic (PV) systems with low voltage distribution networks have been raised dramatically in the last years due to decreasing in the capital cost and investing in the operating cost. However, the power generation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0bcb1cfee7b4985699190fcc28b6f6
https://doi.org/10.1109/upec50034.2021.9548229
https://doi.org/10.1109/upec50034.2021.9548229
Autor:
Bilal R. Al-Kaseem, Anas Fouad Ahmed, Tariq Z. Azouz, Hamed S. Al-Raweshidy, Sadeq D. Al-Majidi, Aws M. Abdullah
Publikováno v:
2nd International Scientific Conference of Al-Ayen University (ISCAU-2020)
In this paper, a simulation model and practical testbed for green Internet of Things (IoT) edge devices are proposed based on solar harvester with constant voltage-maximum power point tracking (CV-MPPT) technique. Billions of connected edge devices r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e75a8df3c4dc6cf297c71d3f37f513
https://bura.brunel.ac.uk/handle/2438/26644
https://bura.brunel.ac.uk/handle/2438/26644
Publikováno v:
2020 55th International Universities Power Engineering Conference (UPEC).
Maximum Power Point Tracking (MPPT) technique is a vital element for improving the efficiency, stability and reliability of a photovoltaic system. Adaptive Neural Fuzzy Interference System (ANFIS) is used to design the MPPT due to its fast-tracking s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39cf54f4b8b502216a85453559657445
https://doi.org/10.1109/upec49904.2020.9209758
https://doi.org/10.1109/upec49904.2020.9209758
Publikováno v:
54th International Universities Power Engineering Conference (UPEC)
Maximum power point tracking (MPPT) methods are a fundamental part in photovoltaic (PV) system design for increasing the generated power of a PV array. Whilst several methods have been introduced, the artificial neural network (ANN) is an attractive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54c0b3af326aa68aaa52a337e98a77fa
https://doi.org/10.1109/upec.2019.8893638
https://doi.org/10.1109/upec.2019.8893638
Publikováno v:
Electronics, Vol 8, Iss 8, p 858 (2019)
Electronics
Volume 8
Issue 8
Electronics
Volume 8
Issue 8
Maximum power point tracking (MPPT) techniques are a fundamental part in photovoltaic system design for increasing the generated output power of a photovoltaic array. Whilst varying techniques have been proposed, the adaptive neural-fuzzy inference s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d5229378e770625d960c7d046f2b991
https://bura.brunel.ac.uk/handle/2438/19419
https://bura.brunel.ac.uk/handle/2438/19419