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To address voltage fluctuations and system stability issues caused by a high proportion of new energy sources connected to the distribution network, this paper introduces a reactive power optimization method using the sand cat swarm algorithm. The method leverages the advantages of Solid State Transformers (SSTs) to enhance power quality and system stability. By incorporating SSTs at the distributed generation access points, the reactive power optimization scheme is improved. Results indicate that the distribution network’s active power loss with SSTs is reduced by 31.06% compared to the network without SSTs, and voltage fluctuations are maintained within 5%.

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Reactive Power Optimization of Distribution Network with Solid State Transformer Based on Sand Cat Swarm Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Mingguang Zhang,
  • Junyi Zhang,
  • Xiaonan Li

摘要

To address voltage fluctuations and system stability issues caused by a high proportion of new energy sources connected to the distribution network, this paper introduces a reactive power optimization method using the sand cat swarm algorithm. The method leverages the advantages of Solid State Transformers (SSTs) to enhance power quality and system stability. By incorporating SSTs at the distributed generation access points, the reactive power optimization scheme is improved. Results indicate that the distribution network’s active power loss with SSTs is reduced by 31.06% compared to the network without SSTs, and voltage fluctuations are maintained within 5%.