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...

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Bibliographic Details

Published in:	2025 International Ural Conference on Electrical Power Engineering (UralCon) pp. 641 - 646
Main Authors:	Gubin, Pavel Y., Valiev, Rustam T., Kotov, Oleg M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.09.2025
Subjects:	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 Access:	Get full text
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