This paper presents a modified discrete particle swarm optimization (PSO) based technique for generating optimal preventive maintenance schedule of generating units for economical and reliable operation of a power system while satisfying system load demand and crew constraints. While GA and other analytical methods might suffer from premature convergence and the curse of dimensionality, heuristics based swarm intelligence can be an efficient alternative. PSO is known to effectively solve large scale multi-objective optimization problems. Here, a modified discrete PSO approach is proposed for the GMS optimization problem in order to overcome the limitations of the conventional methods and come up with a feasible and an optimal solution.
Y. Yare and G. K. Venayagamoorthy, "Optimal Scheduling of Generator Maintenance Using Modified Discrete Particle Swarm Optimization," Proceedings of the Symposium on Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability, 2007 iREP, Institute of Electrical and Electronics Engineers (IEEE), Aug 2007.
The definitive version is available at https://doi.org/10.1109/IREP.2007.4410521
Symposium on Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability, 2007 iREP
Electrical and Computer Engineering
Keywords and Phrases
Maintenance Engineering; Particle Swarm Optimisation; Power Generation Economics; Power Generation Reliability; Scheduling
Article - Conference proceedings
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