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<p>Active filters are becoming increasingly popular as inverters that enhance power quality. These filters are both reliable and effective in energy systems, particularly in applications involving renewable energies and microgrids. It is recommended to use shunt active power filters in conjunction with photovoltaic and wind systems. A robust control strategy that combines fractional calculus with predictive direct power control (PDPC) has been proposed for managing the filter. This strategy employs space vector modulation to generate the necessary pulses. Additionally, a buck-boost converter is utilized to integrate a battery into the studied hybrid energy system for storing surplus energy. This study focuses on evaluating the effectiveness and efficiency of fractional-order PDPC in improving filter performance. The proposed strategy is compared with the fractional-order DPC technique with space vector modulation (FO-DPC-SVM) and the DPC based on a proportional-integral controller (DPC-PI). The article demonstrates how the designed approach enhances both power and current quality within a hybrid power system. Various tests have been proposed to verify the effectiveness and robustness of the new approach. The modeling of the proposed system is conducted using MATLAB/Simulink, and the results are compared with those obtained from FO-DPC-SVM and DPC-PI approaches. The results obtained indicate that the designed approach minimized the harmonic distortion of current by 84.31% compared to DPC-PI and 65.96% compared to FO-DPC-SVM. Furthermore, the designed approach reduced the DC-link voltage ripple by 61.90% compared to DPC-PI and by 7% compared to FO-DPC-SVM. In addition, the designed approach improved the DC-link response time by 83.33% and 81.82% compared to DPC-PI and FO-DPC-SVM, respectively. On the other hand, the proposed algorithm is also compared with related work to highlight its effectiveness and efficiency. The results obtained in all the tests make this designed approach a promising solution in other energy fields.</p>

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Fractional-order predictive direct power control for hybrid power systems based on shunt active power filters

  • 期刊论文

  • 发表日期：

    2026年4月17日

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  • Khaoula Nermine Khallouf,
  • Habib Benbouhenni,
  • Z. M. S. Elbarbary,
  • Zarour Laid

摘要

Active filters are becoming increasingly popular as inverters that enhance power quality. These filters are both reliable and effective in energy systems, particularly in applications involving renewable energies and microgrids. It is recommended to use shunt active power filters in conjunction with photovoltaic and wind systems. A robust control strategy that combines fractional calculus with predictive direct power control (PDPC) has been proposed for managing the filter. This strategy employs space vector modulation to generate the necessary pulses. Additionally, a buck-boost converter is utilized to integrate a battery into the studied hybrid energy system for storing surplus energy. This study focuses on evaluating the effectiveness and efficiency of fractional-order PDPC in improving filter performance. The proposed strategy is compared with the fractional-order DPC technique with space vector modulation (FO-DPC-SVM) and the DPC based on a proportional-integral controller (DPC-PI). The article demonstrates how the designed approach enhances both power and current quality within a hybrid power system. Various tests have been proposed to verify the effectiveness and robustness of the new approach. The modeling of the proposed system is conducted using MATLAB/Simulink, and the results are compared with those obtained from FO-DPC-SVM and DPC-PI approaches. The results obtained indicate that the designed approach minimized the harmonic distortion of current by 84.31% compared to DPC-PI and 65.96% compared to FO-DPC-SVM. Furthermore, the designed approach reduced the DC-link voltage ripple by 61.90% compared to DPC-PI and by 7% compared to FO-DPC-SVM. In addition, the designed approach improved the DC-link response time by 83.33% and 81.82% compared to DPC-PI and FO-DPC-SVM, respectively. On the other hand, the proposed algorithm is also compared with related work to highlight its effectiveness and efficiency. The results obtained in all the tests make this designed approach a promising solution in other energy fields.