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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network

Author

Listed:
  • G. Srinivasan

    (Department of Electrical and Electronics Engineering, MVJ College of Engineering, Whitefield, Bangalore 560067, India)

  • Kumar Reddy Cheepati

    (Department of Electrical and Electronics Engineering, K.S.R.M. College of Engineering, Kadapa 516005, India)

  • B. Srikanth Goud

    (Department of Electrical and Electronics Engineering, Anurag University, Hyderabad 500088, India)

  • Mohammed Alqarni

    (Department of Electrical Engineering, College of Engineering, University of Business and Technology (UBT), Jeddah 21361, Saudi Arabia)

  • Basem Alamri

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Ch. Rami Reddy

    (Department of Electrical and Electronics Engineering, Joginpally B.R. Engineering College, Hyderabad 500075, India
    Applied Science Research Center, Applied Science Private University, Amman 11937, Jordan)

Abstract

This study describes the optimization of Distribution Network Structure (DNS) by altering sectionalizing and tie-switches with Reactive Power Injections (RPI) through optimal nodes under three load variations considering five different cases in Electric Distribution Networks (EDNs) to reduce Energy Loss (E Loss ), thereby achieving Economic Benefit (EB), which is the first step process. This approach yields EBs only to some extent. To achieve a greater reduction in E Loss, enhancing bus voltage profile and to achieve additional EBs, this study examines the incorporation of Renewable Energy Generations (IREGs) into the optimal EDNs with reactive power support. The optimal energy has been purchased from the Independent Power Producers (IPPs). Besides, the Levy Flight Mechanism (LFM) integrated Seagull Optimization Algorithm (SOA) has been applied to solve the Economic Based Objective Function. The effectiveness of the developed methodology has been validated using IEEE 33-bus and a real 74-bus Myanmar EDN. The reductions in E Loss achieved by LFM-SOA have been compared with those of other existing methods in the literature for all the cases. The results reveals that the developed methodology efficiently achieves more EBs ($) for all the cases by optimizing DNSA with and without RPIs and IREGs.

Suggested Citation

  • G. Srinivasan & Kumar Reddy Cheepati & B. Srikanth Goud & Mohammed Alqarni & Basem Alamri & Ch. Rami Reddy, 2024. "Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network," Energies, MDPI, vol. 17(23), pages 1-31, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5840-:d:1526573
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    References listed on IDEAS

    as
    1. Mohamed Abd-El-Hakeem Mohamed & Ziad M. Ali & Mahrous Ahmed & Saad F. Al-Gahtani, 2021. "Energy Saving Maximization of Balanced and Unbalanced Distribution Power Systems via Network Reconfiguration and Optimum Capacitor Allocation Using a Hybrid Metaheuristic Algorithm," Energies, MDPI, vol. 14(11), pages 1-24, May.
    2. Elham Mahdavi & Seifollah Asadpour & Leonardo H. Macedo & Rubén Romero, 2023. "Reconfiguration of Distribution Networks with Simultaneous Allocation of Distributed Generation Using the Whale Optimization Algorithm," Energies, MDPI, vol. 16(12), pages 1-19, June.
    Full references (including those not matched with items on IDEAS)

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