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<p>With the development of smart grids, load transfer capacity classification calculation can provide data support for intelligent management of power grids, helping them achieve more accurate and efficient management. Therefore, a graded calculation method for load transfer capacity of distribution networks based on particle swarm optimization algorithm is proposed. Firstly, the fuzzy transfer closure method is used to classify the time intervals of time of use electricity prices, and the expansion coefficient is used to describe the relationship between electricity demand and electricity prices. Then, a demand response model for time of use electricity prices considering user willingness is established, and use the beetle particle swarm optimization algorithm to solve the demand response model. Finally, combined with the basic matrix algorithm, the graded calculation of the load transfer capacity of the distribution network was achieved. The experimental results show that the method concludes the iteration with an ultimate load transfer capacity of 88.83, achieving a compromise between balanced load rates and maximum load transfer capacity. After adopting the secondary load transfer strategy, the calculated load transfer capacity is 100.5MVA, and the computation time is only 7.75 seconds. This can effectively reduce the calculation time for load transfer capacity classification in distribution networks, providing effective assistance to the distribution network.</p>

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Research on Grading Calculation of Load Transfer Capacity in Distribution Networks Based on Particle Swarm Optimization Algorithm

  • 期刊论文

  • 发表日期：

    2025年10月24日

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  • Kaidi Fan,
  • Xiaowei Wang,
  • Huijuan Cheng,
  • Lihua Zuo,
  • Xiaowen Wu,
  • Junfang Ma

摘要

With the development of smart grids, load transfer capacity classification calculation can provide data support for intelligent management of power grids, helping them achieve more accurate and efficient management. Therefore, a graded calculation method for load transfer capacity of distribution networks based on particle swarm optimization algorithm is proposed. Firstly, the fuzzy transfer closure method is used to classify the time intervals of time of use electricity prices, and the expansion coefficient is used to describe the relationship between electricity demand and electricity prices. Then, a demand response model for time of use electricity prices considering user willingness is established, and use the beetle particle swarm optimization algorithm to solve the demand response model. Finally, combined with the basic matrix algorithm, the graded calculation of the load transfer capacity of the distribution network was achieved. The experimental results show that the method concludes the iteration with an ultimate load transfer capacity of 88.83, achieving a compromise between balanced load rates and maximum load transfer capacity. After adopting the secondary load transfer strategy, the calculated load transfer capacity is 100.5MVA, and the computation time is only 7.75 seconds. This can effectively reduce the calculation time for load transfer capacity classification in distribution networks, providing effective assistance to the distribution network.