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To address the issues of voltage fluctuations and system stability due to the high integration of new energy sources into the distribution network, this paper introduces a reactive power optimization method for distribution networks incorporating distributed generation, utilizing the sand cat swarm algorithm. This method enhances the reactive power optimization scheme. The results demonstrate a 45.95% reduction in active power loss in the distribution network compared to the particle swarm optimization algorithm, with voltage fluctuations maintained within 5% following optimization using the sand cat swarm algorithm.

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Reactive Power Optimization of Distribution Networks with Distributed Generations Based on Sand Cat Swarm Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Xiping Ma,
  • Yaxin Li,
  • Xiaoyang Dong,
  • Rui Xu,
  • Kai Wei

摘要

To address the issues of voltage fluctuations and system stability due to the high integration of new energy sources into the distribution network, this paper introduces a reactive power optimization method for distribution networks incorporating distributed generation, utilizing the sand cat swarm algorithm. This method enhances the reactive power optimization scheme. The results demonstrate a 45.95% reduction in active power loss in the distribution network compared to the particle swarm optimization algorithm, with voltage fluctuations maintained within 5% following optimization using the sand cat swarm algorithm.