Browsing Department of Electrical Engineering by Author "6cb80d9c-66a1-48e2-aa2d-bb39a8058a21"

Now showing items 1-5 of 5

    • A Dynamic Optimal Battery Swapping Mechanism for Electric Vehicles using an LSTM-based Rolling Horizon Approach 

      Shalaby, Ahmed Ayman Ahmed; Shaaban, Mostafa; Mokhtar, Mohamed; Zeineldin, H. H.; El-Saadany, Ehab (IEEE, 2022-01)
      This paper proposes a new approach for optimal operation of an Electric Vehicle (EV) battery-swapping station (BSS) based on Rolling-Horizon optimization (RHO). The BSS has several swapping bays such that each can accommodate ...

    • A Multi-Objective Allocation Approach for Power Quality Monitoring Devices 

      Shaaban, Mostafa; Osman, Ahmed; Aseeri, Fatema Mahmood (IEEE Xplore Digital Library, 2019)
      With the inception of smart grids and the increased integration of renewable resources, the continuous monitoring of power systems becomes increasingly important to monitor power quality (PQ) and speed up the localization ...

    • A New Data-Based Dust Estimation Unit for PV Panels 

      Shaaban, Mostafa; AlArif, Amal AbdulAziz; Mokhtar, Mohamed; Tariq, Usman; Osman, Ahmed; Al-Ali, A. R. (MDPI, 2020)
      Solar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust ...

    • Optimal Operation of Virtual Charging Systems for Plug-In Electric Vehicles 

      Mokhtar, Mohamed; Shaaban, Mostafa; Zeineldin, H. H.; El-Saadany, Ehab (IEEE, 2022-01)
      This paper proposes a novel concept, denoted as Virtual Charging System (VCS), for electric vehicles’ (EVs). In a conventional charging system (CCS) with a competitive environment, the competition between charging stations ...

    • A Subspace Identification Technique for Real Time Stability Assessment of Droop Based Microgrids 

      Elhamalawy, A. F.; Ammar, M. E.; Sindi, Hatem F.; Shaaban, Mostafa; Zeineldin, H. H. (IEEE, 2021-11)
      Real time detection of the microgrid stability is crucial for determining and adjusting the power-sharing droop controllers' gains to maintain a sufficient stability margin. Maintaining minimum relative stability should ...