Search Results - "Faragalla, Asmaa"

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  1. 1

    Enhanced Virtual Inertia Control for Microgrids with High-Penetration Renewables Based on Whale Optimization by Faragalla, Asmaa, Abdel-Rahim, Omar, Orabi, Mohamed, Abdelhameed, Esam H.

    Published in Energies (Basel) (01-12-2022)
    “…High penetration of renewable energy sources into isolated microgrids (µGs) is considered a critical challenge, as µGs’ operation at low inertia results in…”
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    Journal Article
  2. 2

    Evaluation of solar PV-based microgrids viability utilizing single and multi-criteria decision analysis by Abo-Zahhad, Essam M., Rashwan, Ahmed, Salameh, Tareq, Hamid, Abdul Kadir, Faragalla, Asmaa, El-Dein, Adel Z., Chen, Yong, Abdelhameed, Esam H.

    Published in Renewable energy (01-02-2024)
    “…Feasibility analysis is crucial for solar projects to minimize risk and ensure goal achievement. Essential factors include the PV system's location, elevation,…”
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    Journal Article
  3. 3

    Techno-economic Optimization of Isolated Hybrid Microgrids for Remote Areas Electrification: Aswan city as a Case Study by Rashwan, Ahmed, Faragalla, Asmaa, Abo-Zahhad, Essam M, El-Dein, Adel Z, Liu, Yuezhi, Chen, Yong, Abdelhameed, Esam H

    “…Supplying electric energy in remote areas presents a significant challenge due to their relatively far distance from the main grid, low population density,…”
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    Journal Article
  4. 4

    Frequency Stability Improvement of Isolated Microgrid Systems Using Optimal Fractional Order Virtual Inertia Control by Faragalla, Asmaa, Abdelhameed, Esam H., Orabi, Mohamed, Abdel-Rahim, Omar

    “…The challenge of power generation from renewable energy sources like Solar, Wind, and Geothermal power sources is substantial due to the potential for…”
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    Conference Proceeding
  5. 5

    Robust predictive control for a precise positioning mechanism with nonlinear friction and time-delay by Faragalla, Asmaa M., Abdelhameed, Esam H., Elgafary, Ahmed A. M.

    “…The most common factors that deteriorate the performance of mechatronic systems are friction and dead time components. In this paper, Model Predictive Control…”
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    Conference Proceeding