A Comparison of Particle Swarm Optimization and Mixed-Integer Nonlinear Programming Techniques for Maintenance Scheduling in Power Systems

Maintenance scheduling remains an essential part of power system operations, and finding mathematical solutions to this task is a priority for the scientific and engineering community. Its accurate and fast resolution would increase power system operation efficiency, as well as reduce the risk of en...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2025 International Ural Conference on Electrical Power Engineering (UralCon) S. 641 - 646
Hauptverfasser:	Gubin, Pavel Y., Valiev, Rustam T., Kotov, Oleg M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.09.2025
Schlagworte:	Approximation algorithms Maintenance maintenance scheduling Metaheuristics mixed-integer nonlinear programming optimization particle swarm algorithm Particle swarm optimization Power systems Power transmission lines Processor scheduling Programming Schedules Scheduling unit commitment
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!