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Appropriate assimilation of distributed generation (DG) favors the radial power distribution network (RPDN) technically and economically. The real and reactive power loss reduction, bus voltage improvement, and system stability enrichment are the significant technical outcomes of optimized DG allocation. The present work investigates the efficacy of a novel hunter-prey optimizer (HPO) algorithm for the DG placement and sizing problem. HPO algorithm intelligently integrates the hunting activity between the predator and a victim to optimize the site and size of the DG. HPO algorithm-based approach is tested for a single unit of photovoltaic (PV) and wind turbine (WT) DG system allocation to minimize real power losses of the RPDN. The usefulness of the HPO algorithm is assessed on the practical Cairo 59-bus RPDN. The simulation finding after the optimized inclusion of DG has seen significant power loss reduction.

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Hunter-Prey Algorithm Optimized DG Placement for Power Loss Minimization

  • 会议论文

  • 发表日期：

    2026年

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  • M. Senthil Kumar,
  • P. Saravanakumar,
  • R. Sundar,
  • S. Saravanan,
  • A. Sakthidasan,
  • P. Rajakumar

摘要

Appropriate assimilation of distributed generation (DG) favors the radial power distribution network (RPDN) technically and economically. The real and reactive power loss reduction, bus voltage improvement, and system stability enrichment are the significant technical outcomes of optimized DG allocation. The present work investigates the efficacy of a novel hunter-prey optimizer (HPO) algorithm for the DG placement and sizing problem. HPO algorithm intelligently integrates the hunting activity between the predator and a victim to optimize the site and size of the DG. HPO algorithm-based approach is tested for a single unit of photovoltaic (PV) and wind turbine (WT) DG system allocation to minimize real power losses of the RPDN. The usefulness of the HPO algorithm is assessed on the practical Cairo 59-bus RPDN. The simulation finding after the optimized inclusion of DG has seen significant power loss reduction.