M
Mohamed I. Mosaad
Researcher at Yanbu Industrial College
Publications - 77
Citations - 1265
Mohamed I. Mosaad is an academic researcher from Yanbu Industrial College. The author has contributed to research in topics: Computer science & Photovoltaic system. The author has an hindex of 14, co-authored 55 publications receiving 515 citations. Previous affiliations of Mohamed I. Mosaad include Higher Technological Institute.
Papers
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Optimal economic study of hybrid PV-wind-fuel cell system integrated to unreliable electric utility using hybrid search optimization technique
TL;DR: Simulation results have shown that the optimal system for solving the grid unavailability consists of eighty PVs, two WTs, twenty FCs, forty-one electrolyzers, and one hundred eighteen hydrogen tanks, and it is manifest that the suggested system is economically viable with an LCOE of 0.0628 $/kWh.
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Maximum Power Point Tracking of PV system Based Cuckoo Search Algorithm; review and comparison
TL;DR: The results show that CS can track MPP under different operating conditions with lower power losses compared to the other two methods.
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Model reference adaptive control of STATCOM for grid integration of wind energy systems
TL;DR: The results provide evidence of an efficient and robust proposed adaptive control performance rather than static PI controller whose parameters tuned by GA in the voltage, currents, and wind generator speed responses.
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Optimal PI controller of DVR to enhance the performance of hybrid power system feeding a remote area in Egypt
TL;DR: In this paper, the authors proposed an optimal PI controller for DVR for enhancing the performance of a hybrid PV-wind-fuel cell, which includes three renewable energy sources, namely, solar PV cells, wind turbines based permanent magnet synchronous generator and fuel cells.
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Power quality enhancement of grid-connected fuel cell using evolutionary computing techniques
Mohamed I. Mosaad,Mohamed I. Mosaad,Haitham Saad Mohamed Ramadan,Haitham Saad Mohamed Ramadan +3 more
TL;DR: Simulation results, using Matlab/Simulink™, show the significance of the three optimization techniques in regulating the voltage at PCC with reduced harmonics during the system voltage sag and swell conditions when compared to the PSO.