Generator maintenance scheduling of electric power systems using genetic algorithms with integer representations

摘要

The effective maintenance scheduling of power systemudgenerators is very important to a power utility for theudeconomical and reliable operation of a power system.udMany mathematical methods have been implemented forudgenerator maintenance scheduling (GMS). However,udthese methods have many limitations and require manyudapproximations. Here a Genetic Algorithm is proposedudfor GMS problems in order to overcome some of theudlimitations of the conventional methods.udThis paper formulates a general GMS problem using audreliability criterion as an integer programming problem,udand demonstrates the use of GAs with three differentudproblem encodings: binary, binary for integer andudinteger. The GA performances for each of theseudrepresentations are analysed and compared for a testudproblem based on a practical power system scenario. Theudeffects of different GA parameters are also studied. Theudresults show that the integer GA is a very effectiveudmethod for GMS problems.