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The increase in individual renewable energy systems, such as wind and solar, makes solving the Optimal Power Flow problem in distribution networks a priority. The objective is to improve the efficiency of energy exchange and reduce generation costs by activating only the strictly necessary generators. In this paper, a solution based on the Particle Swarm Optimization (PSO) algorithm is proposed, and its results are compared with those obtained through a Mixed-Integer Nonlinear Programming (MINLP) model.

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Particle Swarm Optimization for the Optimal Power Flow in Distribution Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Laura Mardones Suárez,
  • Álvaro García Sánchez,
  • Araceli Hernández-Bayo,
  • Luis Badesa-Bernardo

摘要

The increase in individual renewable energy systems, such as wind and solar, makes solving the Optimal Power Flow problem in distribution networks a priority. The objective is to improve the efficiency of energy exchange and reduce generation costs by activating only the strictly necessary generators. In this paper, a solution based on the Particle Swarm Optimization (PSO) algorithm is proposed, and its results are compared with those obtained through a Mixed-Integer Nonlinear Programming (MINLP) model.