El-Sayed Soliman A. Said
Al-Azhar University

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A different visions for uninterruptible load using hybrid solar-grid energy Mohamed Ibrahim A. Arafa; El-Sayed Soliman A. Said
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.762 KB) | DOI: 10.11591/ijpeds.v10.i1.pp381-387

Abstract

Attempting to reduce the existing electricity consumption bill, as well as the stability and non-outage grid recharge with the lowest possible cost and suitable quality, is one of the most important goals for those interested in energy around the world. This paper study the circumstances surrounding the Egyptian society to find the best solutions to a achieved this goals, and it was found that solar energy is one of the best alternatives available for energy. Firstly will be study the electricity consumption bill, slice prices and a program was made to calculate the consumption invoice moreover another program for quick estimation to the proposed solar system.The proposed system provides a smart integration between the solar system and grid, where the supply sustainability and the optimal cost are considered. This configuration allows the two sources separately or simultaneously supply the loads depending on photovoltaic extracted energy. Operational analysis of the proposed system will discussed in this paper. The proposed system consists of solar cells, charge controller, batteries and inverter plugged to automatic transfer switches (ATS) using Programmable Logic Control (PLC). The system grantee a safe and reliable load feeding independently on the grid status. The system durability is the most depicted feature through the modelling and experimentally results. A typical case studies for about four years of non-outages photovoltaic-grid hybrid supply (the implemented system) will be presented and discussed.
A novel interactive technique for load current harmonic reduction for any randomly utilized household equipment Eman Farag Ahmed; EL-Sayed Soliman A. Said; Hala M. Abdel Mageed; Abdelhady Abdelazim Ammar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2159-2171

Abstract

Sustaining a stable level of power quality in the localized network is a growing challenge due to the increased use of power electronics. This paper proposes a novel interactive technique that reads the load current according to the connected loads. Whenever equipment is started running, the system is immediately read the distorted current for three cycles. The fundamental current can be estimated according to the system acquired readings. This system subtracts this estimated fundamental current from the sensor current reader to extract the total harmonic currents. According to the total harmonic currents the system uses suitable switching frequency Fs and modulation index Ma for generating anti-current source inverter (CSI) pulse width modulation (PWM) signal. Complete and comprehensive comparison between the system laboratory measurements using the Calmet TE30 power analyzer and the simulation model are presented. These results confirmed significant agreements between the proposed model and actual measurements at different loads. Furthermore, current and voltage sensors accompanied with a microcontroller read the load current the system realization. Finally, the measured currents of different loads are almost typically confirmed with the power analyzer's results. The reduced harmonics currents of the implemented model display the system validation.
Emulation-based evaluation of dust-aware automated cleaning system for aggregated solar panels on electric vehicles Mohamed Abubakr Mahgoub Hassan; Belal Ahmed Hamida; El-Sayed Soliman A. Said; Muhammed Zaharadeen Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp637-648

Abstract

The integration of photovoltaic (PV) panels into electric vehicles (EVs) provides a complementary energy source capable of extending driving range and reducing reliance on grid-based charging. However, the practical contribution of vehicle-mounted PV systems is significantly constrained by dust accumulation, which can induce power losses exceeding 20% under prolonged urban and roadside exposure. This study presents a low-power; sensor-driven, automated dust detection and cleaning system specifically designed for aggregated EV-mounted solar panels. Hybrid series–parallel panel aggregation architecture is employed to mitigate mismatch and partial shading effects associated with non-uniform dust deposition. A MATLAB/Simulink-based emulation framework is developed to model dust-induced attenuation, capacitive sensor response, cleaning subsystem energy consumption, and net energy recovery under static parking, urban driving, and mixed-use operating conditions. Results demonstrate that the proposed system maintains panel performance within 95%–98% of clean baseline output and recovers approximately 12%–15% of the dust-induced lost energy per cleaning cycle, while sustaining a positive net energy balance with minimal operational overhead. The main contributions of this work include the development of a quantitative energy trade-off model linking dust density, sensor response, and cleaning cost, the design of an EV specific hybrid aggregation strategy for dust-resilient power extraction, and a reproducible emulation framework for evaluating autonomous cleaning systems under realistic vehicular conditions. These findings confirm the technical feasibility and energy efficiency of intelligent dust mitigation as an enabling mechanism for solar-assisted electric mobility.