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Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm

Author

Listed:
  • Gubbala Venkata Naga Lakshmi

    (Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad 500007, India
    These authors contributed equally to this work.)

  • Askani Jaya Laxmi

    (Department of Electrical and Electronics Engineering, JNTU Hyderabad, Hyderabad 500085, India
    These authors contributed equally to this work.)

  • Venkataramana Veeramsetty

    (Center for AI and Deep Learning, Department of Electrical and Electronics Engineering, SR University, Warangal 506371, India
    These authors contributed equally to this work.)

  • Surender Reddy Salkuti

    (Department of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Republic of Korea
    These authors contributed equally to this work.)

Abstract

The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is considered as an objective function. The self-adaptive Lévy flight-based Jaya algorithm is used as an optimization technique to determine the best location and size of distributed generation units. In the MATLAB environment, the proposed algorithm was implemented on IEEE 15 and PG and E 69 bus distribution systems. According to the simulation results, distribution networks can supply more quality power to customers by minimizing the voltage deviation from the flat voltage profile if the DG units are properly placed and sized.

Suggested Citation

  • Gubbala Venkata Naga Lakshmi & Askani Jaya Laxmi & Venkataramana Veeramsetty & Surender Reddy Salkuti, 2022. "Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm," Clean Technol., MDPI, vol. 4(4), pages 1-13, November.
    • Handle: RePEc:gam:jcltec:v:4:y:2022:i:4:p:76-1254:d:986647
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    References listed on IDEAS

    as
    1. Luis A. Gallego Pareja & Jesús M. López-Lezama & Oscar Gómez Carmona, 2022. "A Mixed-Integer Linear Programming Model for the Simultaneous Optimal Distribution Network Reconfiguration and Optimal Placement of Distributed Generation," Energies, MDPI, vol. 15(9), pages 1-26, April.
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