Yazar "Elbarbary, Z.M.S." seçeneğine göre listele

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    Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems
    (Nature Research, 2025) Benbouhenni, Habib; Bizon, Nicu; Yessef, Mourad; Elbarbary, Z.M.S.; Çolak, İlhami; Bossoufi, Badre; Al Ayidh, Abdulrahmane
    The direct power control (DPC) algorithm is one of the most popular linear techniques used to implement notable controllers, known for their simplicity and fast dynamic response. However, this approach has drawbacks that cause a decrease in the current quality and disturbances in the network. Therefore, this experimental work presents a simple and efficient solution that uses a proportional-integral regulator based on a genetic algorithm to regulate the power quality. The designed approach uses a pulse width modulation to produce control pulses for the operation of the rotor inverter of a doubly-fed induction generator-based multi-rotor wind system. This approach is first verified in MATLAB using a 1500 kW generator operating under different working conditions. Furthermore, the processor-in-the-loop (PIL) test using dSPACE 1104 is used to verify the efficacy and ability of the designed approach in enhancing the effectiveness of the power system under study. The results obtained in all tests demonstrate that compared to DPC, the designed approach reduces active power ripples with estimated percentages of 71.42%, 66.67%, and 70%, and the reactive power overshoot value is reduced with estimated percentages of 92.85%, 56.48%, and 79.21%. In addition, the experimental results (using the PIL test) confirm the ability of the designed control algorithm to enhance the energy and current quality, which makes this designed technique a suitable solution in the field of control. © The Author(s) 2024.
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    Feedback action and genetic algorithm-based proportional-integral controller to improve the performance of the direct power control of a variable-speed contra-rotating wind turbine generation system
    (Elsevier ltd, 2025) Benbouhenni, Habib; Çolak, İlhami; Yessef, Mourad; Elbarbary, Z.M.S.; Bizon, Nicu
    An enhanced control scheme of a double-powered asynchronous generator (DPAG) integrated into a variablespeed contra-rotating wind turbine (VSCRWT) generation system is displayed in this paper. The original idea treated here is to develop a robust direct power control (DPC) using a new kind of proportional-integral (PI) regulator based on feedback command theory and genetic algorithm (GA) for the DPAG-VSCRWT system. The suggested feedback PI (FPI) controller based on the GA technique is designed to improve the performance and robustness of the DPC of the DPAG-VSCRWT system, especially the problem of low robustness. The DPC-FPI-GA strategy was applied to the machine inverter only, where the pulse width modulation (PWM) strategy was used to convert the reference voltage values generated by the FPI-GA controllers. Therefore, this strategy differs from the traditional DPC strategy in terms of principle, performance, durability, and effectiveness in improving the quality of current and energy. The DPC-FPI-GA approach with the PWM technique is applied to the VSCRWT system using a 1500 kW DPAG during various tests in MATLAB software. The characteristics of the presented DPC-FPIGA approach with the PWM technique are verified by numerical simulations. The performances of the DPC-FPIGA approach with the PWM technique are verified using performance indicators (such as the ripple ratio for torque, power, and current, as well as the harmonic distortion value of the current) and detailed discussions are given at the end of the paper. It was found that the proposed DPC-FPI-GA with PWM technique contributed significantly to the improvement of power quality produced by the DPAG-VSCRWT system even in the presence of internal and/or external disturbances. In addition, the designed DPC approach based on the PWM and FPI-GA techniques provides minimum harmonic distortion of current, reduces the ripples of the torque and energy, and enhances the time response of the DPAG-VSCRWT system.