Optimal Generator Maintenance Scheduling Using a Modified Discrete PSO
A modified discrete particle swarm optimisation (MDPSO) algorithm to generate optimal preventive maintenance schedule of generating units for economical and reliable operation of a power system, while satisfying system load demand and crew constraints, is presented. Discrete particle swarm optimisation (DPSO) is known to effectively solve large-scale multi-objective optimisation problems and has been widely applied in power system. The MDPSO proposed for the generator maintenance scheduling optimisation problem generates optimal and feasible solutions and overcomes the limitations of the conventional methods, such as extensive computational effort, which increases exponentially as the size of the problem increases. The efficacy of the proposed algorithm is illustrated and compared with the genetic algorithm (GA) and DPSO in two case studies - a 21-unit test system and a 49-unit system feeding the Nigerian national grid. The MDPSO algorithm is found to generate schedules with comparatively higher system reliability indices than those obtained with GA and DPSO.
Y. Yare et al., "Optimal Generator Maintenance Scheduling Using a Modified Discrete PSO," IET Generation, Transmission & Distribution, The Institution of Engineering and Technology (The IET), Nov 2008.
The definitive version is available at https://doi.org/10.1049/iet-gtd:20080030
Electrical and Computer Engineering
Keywords and Phrases
Discrete Particle Swarm Optimisation; MDPSO; Modified Discrete Particle Swarm Optimisation
Article - Journal
© 2008 the Institution of Engineering and Technology (The IET), All rights reserved.
01 Nov 2008