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Optimal Integration of New Technologies and Energy Sources into Radial Distribution Systems Using Fuzzy African Vulture Algorithm

Author

Listed:
  • Sumeet Sahay

    (Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad 826004, Jharkhand, India)

  • Saubhagya Ranjan Biswal

    (Vignan’s Foundation for Science, Technology and Research, Guntur 522213, Andhra Pradesh, India)

  • Gauri Shankar

    (Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad 826004, Jharkhand, India)

  • Amitkumar V. Jha

    (School of Electronics Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to Be University, Bhubaneswar 751024, India)

  • Deepak Kumar Gupta

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to Be University, Bhubaneswar 751024, India)

  • Sarita Samal

    (School of Electrical Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to Be University, Bhubaneswar 751024, India)

  • Alin-Gheorghita Mazare

    (Faculty of Electronics, Communication and Computers, Pitești University Centre, The National University of Science and Technology POLITEHNICA Bucharest, 110040 Pitesti, Romania)

  • Nicu Bizon

    (Faculty of Electronics, Communication and Computers, Pitești University Centre, The National University of Science and Technology POLITEHNICA Bucharest, 110040 Pitesti, Romania)

Abstract

In the contemporary global context, excessive fossil fuel consumption remains a critical issue, particularly within the transportation sector. Electric vehicles offer a promising alternative due to their durability and reduced greenhouse gas emissions. However, their rapid adoption has introduced significant challenges, including increased network power losses, deteriorating voltage profiles, and declining substation power factors. This study proposes an approach that integrates fuzzy objective optimization with African Vulture Optimization (AVO) to determine the optimal sitting and sizing of distributed generations (DG), shunt capacitors (SC), and electric vehicle charging stations (EVCS) within radial distribution systems (RDS). The proposed methodology is evaluated on the standard IEEE-69 bus RDS. A detailed comparative analysis between the proposed simultaneous optimization approach for DGs, SCs, and EVCSs and with the traditional two-staged method is presented. The findings indicate that the proposed strategy not only matches but surpasses the performance of existing strategies for the reduction of power losses and enhancement of bus voltage profiles. Key findings include a significant reduction in active and reactive power line loss, with losses minimized by 85.90% and 82.15%, respectively. In addition, an improvement in the minimum bus voltage to 0.98 p.u. is also achieved. Thereafter, the proposed issue is solved in different loading scenarios to present the effectiveness of the approach under different operating conditions. This research effectively demonstrates the complexities introduced by EVCS integration and addresses the issue with simultaneous optimal sitting and sizing of DGs, SCs, and EVCSs that significantly enhance the sustainability and efficiency of RDS.

Suggested Citation

  • Sumeet Sahay & Saubhagya Ranjan Biswal & Gauri Shankar & Amitkumar V. Jha & Deepak Kumar Gupta & Sarita Samal & Alin-Gheorghita Mazare & Nicu Bizon, 2025. "Optimal Integration of New Technologies and Energy Sources into Radial Distribution Systems Using Fuzzy African Vulture Algorithm," Sustainability, MDPI, vol. 17(4), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1654-:d:1592889
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    References listed on IDEAS

    as
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