Publications Internationales

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Author: search.filters.author.Kheldoun, AissaHas files: No

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    Optimized fractional order Takagi-Sugeno Fuzzy-PID power system stabilizer: An enhanced dung beetle optimization approach
    (Elsevier, 2025) Hattabi, Intissar; Kheldoun, Aissa; Bradai, Rafik; Belmadani, Hamza
    This paper introduces a novel Fractional Order Takagi-Sugeno Fuzzy-PID (FO-TSF-PID) controller, optimized using an enhanced Dung Beetle Optimization (EDBO) algorithm, to improve the damping of low-frequency oscillations in power systems. The controller's design involves simultaneous optimization of membership functions (MFs) and gains, enhancing performance, particularly under three-phase fault conditions. The optimization process, executed through the EDBO algorithm, is both flexible and straightforward to implement. The FO-TSF-PID controller was tested on a two-area power system subjected to three symmetrical faults. Performance evaluations demonstrated the controller's superiority over the standard Fractional Order PID (FOFPID) controller, achieving significant improvements in inter-area and local-area eigenvalues. Specifically, inter-area improvements were 87.08 % with PSO, 83.86 % with EO, 81.29 % with DBO, and 78.89 % with EDBO, while local-area improvements were 71.01 % with PSO, 70.52 % with EO, 65.73 % with DBO, and 64.32 % with EDBO. Comparative analysis against traditional controllers such as Lead-Lag Power System Stabilizer (PSS), Proportional-Integral-Derivative (PID), and Fractional Order PID (FOPID) consistently showed the FO-TSF-PID controller's enhanced stability and robustness. Further comparisons revealed that the EDBO-optimized FO-TSF-PID controller achieved 99.94 %, 99.93 %, and 99.95 % enhancements compared to those optimized using PSO, EO, and DBO, respectively. The results indicate that the EDBO-optimized FO-TSF-PID controller excels in reducing settling time, minimizing overshoot, and improving steady-state error, thus proving its efficacy in stabilizing power systems
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    A twofold hunting trip African vultures algorithm for the optimal extraction of photovoltaic generator model parameters
    (Taylor et francis, 2022) Belmadani, Hamza; Kheldoun, Aissa; Bradai, Rafik; Bradai, Rafik; Daula Siddique, Marif
    The development of reliable simulators that finely imitate the behavior of PV devices is vitally important for the design and optimization of efficient and stable photovoltaic systems. In this work, an improved variant of the African Vultures Optimization Algorithm named IAVOA is designed to serve as a powerful tool for extracting the unknown parameters of photovoltaic models. The introduced scheme incorporates a twofold strategy in such a way that allows a portion of the search agents to conduct a global search while the remaining portion performs a local search. The embedded mechanism is based on two equations added to the standard version, and by which the exploration and exploitation capabilities of the algorithm have significantly been fostered. To testify the performance of the IAVOA, a comparative study based on the Root Mean Square Error (RMSE), was conducted on six distinct benchmark PV models, and the obtained results were, in most cases, remarkably superior to the ones achieved by its competitors. The algorithm was able to produce values for the ideality factors that have not been previously found by any existing work to the best of our knowledge. In turn, the Double Diode and Triple Diode models’ accuracies were notably improved with RMSE scores of 6.9096×10−4 and 7.4011×10−4 respectively for the RTC France cell, and 1.4251×10−2 for the STP6-120/36 module, outperforming the existing techniques. In light of that, it can be reliably presumed that the IAVOA is indeed a promising algorithm for the electrical characterization of PV devices.
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    Fuzzy logic enhanced control for a single-stage grid-tied photovoltaic system with shunt active filtering capability
    (Wiley, 2021) Ayachi Amor, Yacine; Hamoudi, Farid; Kheldoun, Aissa; Didier, Gaëtan; Rabiai, Zakaria
    In this paper, a three-phase single-stage grid-connected photovoltaic (PV) system with active power filtering capability by means of a three-level T-type inverter is presented. The system is intended to fulfill many functions: harmonic mitigation, unity power factor operation, maximum power extraction from PV source, and so on. For the proposed system to achieve these tasks with a good dynamic performance, a new control strategy based on the fuzzy logic controller is developed. Fuzzy control has three main stages and each one requires many settings or selection of parameters. A new approach of setting the scaling factors which considerably affect the system's response is proposed. Furthermore, a methodology to properly set the fuzzy rules is suggested. The electrical power chain of the system comprises a farm of a PV source, three-level T-type inverter space vector pulse width modulation controlled, inductor filter, non-linear load, and the utility grid. To evaluate the performance of the proposed control, a processor-in-the-loop is performed as a hardware verification of the inverter control algorithm using a low-cost STM32F4 discovery board, while the power circuit plant is modeled in the host computer using Matlab/Simulink. The obtained results are very satisfactory and confirm the role of each component, especially in terms of maximum power tracking, power quality, unity power factor operation, and control robustness
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    Design and implementation of three-level T-type inverter based on simplified SVPWM using cost-effective STM32F4 board
    (Inderscience Online Journals, 2021) Amor, Yacine Ayachi; Kheldoun, Aissa; Metidji, Brahim; Hamoudi, Farid; Merazka, Abdeslam; Lazoueche, Youssouf
    This paper investigates the design and validation of simplified space vector pulse width modulation (SVPWM) as a switching control for a three-phase three-level T-type inverter using STM32F4 board interfaced with MATLAB/Simulink environment. Usually, the SVPWM algorithm implemented using either DSP card or Dspace platform, which affects the cost of the system. On the contrary, the proposed algorithm offers a great reduction of computations compared with the conventional one, which grants an easy digital implementation. Thanks to the geometrical symmetry of six sectors, in which exists a close relationship between on-time calculations and on-time arrangement of the switching states. This can be exploited for the remaining sectors based on a single computation that relies on the first sector only. The proposed algorithm has been validated in both simulation and experimental tests. The results show the ability and the flexibility of using the STM32F4 board to drive a three-level T-type inverter