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<p>The increasing demand for electrical energy has made renewable energy generation sources indispensable in distribution systems. The optimal location and sizing of renewable energy generators (REG) significantly influence system losses in a distribution network. This study presents the Repeated Load Flow (RLF) optimization approach to determine the ideal placement and capacity of various REG types in large-scale radial distribution systems. The primary objective is to minimize power losses through strategic REG placement. The proposed method employs a simple yet effective repeated load flow technique to identify the optimal locations and sizes of REG. The proposed method’s performance against existing approaches using a range of case studies, including active power, reactive power, combined real and reactive power, and optimal power factor. Simulation results consistently show our method’s superiority. From this study includes key numerical results, such as to 63.60% loss reduction in large-scale distribution systems and an 8.65% improvement in the voltage profile in the best case. Additionally, optimal REG placement enhances network efficiency. The validation of the approach is further confirmed through its application to large-scale distribution test systems.</p>

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Optimizing the Placement of Distributed Renewable Energy Resources in Large-Scale Distribution Systems

  • 期刊论文

  • 发表日期：

    2025年5月19日

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  • Ramesh Kumar,
  • Digambar Singh,
  • Manish Kumar Singla,
  • Muhammed Ali S. A.,
  • EI-Sayed M. EI-Kenawy,
  • Amal H. Alharbi

摘要

The increasing demand for electrical energy has made renewable energy generation sources indispensable in distribution systems. The optimal location and sizing of renewable energy generators (REG) significantly influence system losses in a distribution network. This study presents the Repeated Load Flow (RLF) optimization approach to determine the ideal placement and capacity of various REG types in large-scale radial distribution systems. The primary objective is to minimize power losses through strategic REG placement. The proposed method employs a simple yet effective repeated load flow technique to identify the optimal locations and sizes of REG. The proposed method’s performance against existing approaches using a range of case studies, including active power, reactive power, combined real and reactive power, and optimal power factor. Simulation results consistently show our method’s superiority. From this study includes key numerical results, such as to 63.60% loss reduction in large-scale distribution systems and an 8.65% improvement in the voltage profile in the best case. Additionally, optimal REG placement enhances network efficiency. The validation of the approach is further confirmed through its application to large-scale distribution test systems.