Zobrazeno 1 - 10
of 349
pro vyhledávání: '"A. M. Hemeida"'
Autor:
Eman Mahmoud, Salem Alkhalaf, Mahmoud Hemeida, Tomonobu Senjyu, Mahrous Ahmed, Ashraf M. Hemeida, Omar Abdel-Rahim
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 9, Pp 102893- (2024)
Optimum operation of power system network becomes of great importance to handle the problem of power shortage. Connecting renewable energy (RE) based distributed generators (DG) into electrical networks (EN) are spreading rapidly to earn more benefit
Externí odkaz:
https://doaj.org/article/a7e8699836df4b6f9496dc0e09a197e6
Autor:
Mohamed Khalid Ratib, Salem Alkhalaf, Tomonobu Senjyu, Ahmed Rashwan, Mohamed Metwally Mahmoud, Ashraf M. Hemeida, Dina Osheba
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 8, Pp 102028- (2023)
Model predictive control (MPC) is recently emerging as an efficient and promising technique for the control of power converters. In the conventional MPC algorithm, the control objectives are usually estimated and evaluated for a large/definite number
Externí odkaz:
https://doaj.org/article/712148302235412db6894958b7bef0be
Autor:
Mahmoud M. Gamil, Mohammed Elsayed Lotfy, Ashraf M. Hemeida, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu
Publikováno v:
AIMS Energy, Vol 9, Iss 3, Pp 483-515 (2021)
Externí odkaz:
https://doaj.org/article/b87aed0b2a5e45dc830d2fb92174127d
Autor:
Asmaa Fawzy Rashwan, Mahrous Ahmed, Mohamed R. Mossa, Ayman M. Baha-El-Din, Salem Alkhalaf, Tomonobu Senjyu, Ashraf M. Hemeida
Publikováno v:
Ain Shams Engineering Journal, Vol 13, Iss 2, Pp 101544- (2022)
This paper proposes an explicit adaptive controller to damp oscillations and to enhance the single machine infinite bus SMIB stability. Owing to the increasing requests for renewable energy and operating conditions, the identification for power syste
Externí odkaz:
https://doaj.org/article/c740eaba1de64d4b82c37c081292fc48
Publikováno v:
Energies, Vol 15, Iss 24, p 9417 (2022)
Moving towards RER has become imperative to achieve sustainable development goals (SDG). Renewable energy resources (RER) are characterized by uncertainty whereas, most of them are unpredictable and variable according to climatic conditions. This pap
Externí odkaz:
https://doaj.org/article/c9df0b2898f545aea53d941dc997f0e4
Autor:
Hongjing He, Yongyi Huang, Akito Nakadomari, Hasan Masrur, Narayanan Krishnan, Ashraf M. Hemeida, Alexey Mikhaylov, Tomonobu Senjyu
Publikováno v:
Renewable Energy. 202:1436-1447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bba0bd7306e57502f5db79659e8c6a98
https://doi.org/10.1016/j.renene.2022.12.046
https://doi.org/10.1016/j.renene.2022.12.046
Autor:
Kanato Tamashiro, Talal Alharbi, Alexey Mikhaylov, Ashraf M. Hemeida, Narayanan Krishnan, Mohammed Elsayed Lotfy, Tomonobu Senjyu
Publikováno v:
Energies, Vol 14, Iss 21, p 7314 (2021)
Due to the rapid changes in the energy situation on a global scale, the amount of RES installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power Generators (WGs) is rapidly increasing. As a result, there has been a great
Externí odkaz:
https://doaj.org/article/86697dc350af48af94813a254de63427
Akademický článek
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Publikováno v:
Energies, Vol 13, Iss 21, p 5800 (2020)
This work introduces multi-objective water cycle algorithm (MOWCA) to find the accurate location and size of distributed energy resource (DERs) considering different load models for two seasons (winter, and summer). The impact of uncertainties produc
Externí odkaz:
https://doaj.org/article/0878d8f7d19a4919b930bd084c5ddae0
Autor:
Mahmoud M. Gamil, Makoto Sugimura, Akito Nakadomari, Tomonobu Senjyu, Harun Or Rashid Howlader, Hiroshi Takahashi, Ashraf M. Hemeida
Publikováno v:
Energies, Vol 13, Iss 14, p 3666 (2020)
Optimal sizing of power systems has a tremendous effective role in reducing the total system cost by preventing unneeded investment in installing unnecessary generating units. This paper presents an optimal sizing and planning strategy for a complete
Externí odkaz:
https://doaj.org/article/258df60d8b6b41a5b09cb32330d20f0b