The optimal preventive maintenance schedules of generating
units for the purpose of maximizing economic benefits and improving reliable
operation of 44 functional thermal generating units of Nigerian power system,
subject to satisfying system load demand, allowable maintenance window and crew
constraints over 52 weeks maintenance and operational period is presented. It
uses HPSO algorithm to find the optimum schedule. The purpose of the algorithm
is to orderly encourage moving maintenance outages from periods of low
reliability to periods of high reliability, so that a reasonable reliability
level is attained throughout the the year. The maintenance outages for the
generating units were scheduled to minimize the sum of the squares of reserves
and satisfy 2,943.8 MW system peak load with 6.5% spinning reserve of 2,403.8
MW, available manpower for maintenance per week of 22 and maximum generation of
3,028.8 MW. The reliability criterion of the power system was achieved by
maximizing the minimum net reserves along with satisfaction of maintenance
window, crew and load constraints. The population size of 30 particles and 2500
iterations were chosen. These were chosen as a trade-off between computational
time and complexity. It was shown that the HPSO algorithm is not as time
efficient as the standard PSO but it provides more consistent and reliable
results. In the periods of low maintenance activities, with the PSO algorithm,
the maximum generation is 2,753.8 MW while the HPSO produce 2,943.8 MW. It is
glaring from the comparison that the HPSO algorithm shows better performance
and produce optimal maintenance scheduling framework for the Nigerian power
system that will achieve better utilization of available energy with improved
reliability and reduction in energy cost.
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