使PSOGA.

Abdelhalim Borni1, Noureddine Bessous2, Layachi Zaghba1

  • 1Centre de Développement des Energies Renouvelables, Unité de Recherche Appliquée en Energies Renouvelables, URAER, CDER, Ghardaïa, 47133, Algeria.

Scientific reports
|July 29, 2025
PubMed
概括

这项研究优化了使用粒子群优化 (PSO) 和遗传算法 (GA) 的风力轮机的模糊逻辑控制器. 带有PSO的优化模糊逻辑控制器 (FLC) 在最大限度地提高功率输出和系统稳定性方面表现出卓越的性能.

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