Coordinated maintenance scheduling in power system using combined genetic algorithm and simulated annealing

The provision of un-interrupted power supply for all customers has always been one of fundamental concern of maintenance scheduling. The maintenance scheduling (MS) is characterized as a constrained optimization problem. Combined genetic algorithm and simulated annealing (CGASA) was proposed in this paper for coordinate maintenance scheduling (CMS). This approach used to find the timetable of scheduled maintenance outages in power system. The objectives of the paper are minimizing the total generator operating cost and leveling the reserve. It is observed that the proposed method is more reliable and gives better quality of solution with improved search performance. It is tested on 4 unit and 62 unit state electricity system of Victoria.