Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems

Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems

Abstract This research presents an advanced optimization framework motivated from biological sources using the Sperm Swarm Optimization (SSO) algorithm to specifically deal with the Many-Objective Optimal Power Flow (MaO-OPF) problem in power systems. Despite the great progress made in multi-objecti...

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Bibliographic Details
Main Authors: Wulfran Fendzi Mbasso, Ambe Harrison, Pradeep Jangir, Idriss Dagal, Hossam Kotb, Njimboh Henry Alombah, Raman Kumar, Aseel Smerat, Emmanuel Fendzi Donfack, Saad F. Al-Gahtani, Z. M. S. Elbarbary
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Sperm swarm optimization (SSO)
Many-objective optimal power flow (MaO-OPF)
Multi-objective optimization
Reactive power loss minimization
IEEE bus system validation
Flexible AC transmission systems (FACTS)
Online Access:https://doi.org/10.1038/s41598-025-99330-z
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https://doi.org/10.1038/s41598-025-99330-z

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