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Load Voltage Balancing Using Marine Predator Algorithm for Power System Quality Improvement

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Abstract

This paper presents an intelligent control strategy-based DVR unit integrated with a solar Photovoltaic system. The controlling of DVR voltage injection is done by Marine Predator Algorithm-based Interval Type -2 Fuzzy Logic Controller (MPA-IT2FC). In this proposed method, the IT2FC is used to tune the gains of the PI controller. Also, the Marine Predator Algorithm is used to control the parameter of the fuzzy membership function. Here, the proposed control method is employed on a Synchronous Reference Frame theory basis. The simulations are performed using the MATLAB/Simulink tool. To demonstrate the effectiveness of the proposed DVR, which is compared with the existing techniques such as traditional PI controller, Fuzzy Logic controller (FLC), and Grasshopper optimization algorithm-PID (GOA-PID) controller-based DVR. The proposed DVR outperforms the existing techniques in terms of efficient compensation of PQ issues. The THD value of the proposed DVR system is 3.85%, 2.81%, and 1.08% less than the PI, FLC, and GOA-PID controller-based DVR.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, University VOC College of Engineering, Thoothukudi, Tamil Nadu, India

    P. Anitha

  2. Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India

    A. S. Kamaraja

  3. Department of Electrical and Electronics Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India

    A. Bhuvanesh

  4. Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India

    K. Karthik Kumar

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  1. P. Anitha
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  2. A. S. Kamaraja
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  3. K. Karthik Kumar
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  4. A. Bhuvanesh
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Correspondence to K. Karthik Kumar.

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Anitha, P., Kamaraja, A.S., Karthik Kumar, K. et al. Load Voltage Balancing Using Marine Predator Algorithm for Power System Quality Improvement. J. Electr. Eng. Technol. 19, 73–82 (2024). https://doi.org/10.1007/s42835-023-01522-y

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  • DOI: https://doi.org/10.1007/s42835-023-01522-y

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