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Design and dynamic analysis of superconducting magnetic energy storage-based voltage source active power filter using deep Q-learning

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Abstract

The voltage source active power filter (VS-APF) is being significantly improved the dynamic performance in the power distribution networks (PDN). In this paper, the superconducting magnetic energy storage (SMES) is deployed with VS-APF to increase the range of the shunt compensation with reduced DC link voltage. The proposed SMES is characterized by the physical parameter, inductive coil, diodes and insulated gate bipolar transistors (IGBTs). The deep Q- learning (DQL) algorithm is suggested to operate SMES based VS-APF for the elimination of harmonics under different loading scenarios. Apart from this, the other benefits like improvement in power factor (PF), load balancing, potential regulation are attained. The simulation studies obtained from the proposed method demonstrates the correctness of the design and analysis compared to the VS-APF. To show the power quality (PQ) effectiveness, balanced and unbalanced loading are considered for the shunt compensation as per the guidelines imposed by IEEE-519-2017 and IEC-61000-1 grid code by using dSPACE-1104-based experimental study.

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The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

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Funding

There is no funding available for this research in any form.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, SRM University, Amaravati, Andhra Pradesh, 522240, India

    M. Mangaraj

  2. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, 532127, India

    Ramana Pilla & Polamarasetty P. Kumar

  3. Department of Electrical and Electronics Engineering, NMAM Institute of Technology, NITTE, Karkala, Karnataka, 574110, India

    Ramakrishna S. S. Nuvvula

  4. Department of Electrical Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi, UP, 221005, India

    Aanchal Verma

  5. Department of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Ahmed Ali

  6. Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia

    Baseem Khan

Authors
  1. M. Mangaraj
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  2. Ramana Pilla
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  3. Polamarasetty P. Kumar
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  4. Ramakrishna S. S. Nuvvula
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  5. Aanchal Verma
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  6. Ahmed Ali
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  7. Baseem Khan
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Contributions

MM, RP,PPK, RSSN, AV, AA, BK had written the manuscript text. MM, RP,PPK, RSSN, AV, AA, BK prepared figures. All authors reviewed the manuscript.

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Correspondence to Baseem Khan.

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Mangaraj, M., Pilla, R., Kumar, P.P. et al. Design and dynamic analysis of superconducting magnetic energy storage-based voltage source active power filter using deep Q-learning. Electr Eng 106, 1241–1250 (2024). https://doi.org/10.1007/s00202-023-02062-4

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  • DOI: https://doi.org/10.1007/s00202-023-02062-4

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