Abstract

The generator maintenance scheduling GMS problem is a high-dimensional complex constrained non linear optimization problem that determines the schedule for carrying out planned preventive maintenance on generating units in a power system Here GMS is modelled from the perspective of vertically integrated utility system subject to different set system and operational constraints Over the last few decades a number of solution techniques including nature inspired algorithms have been developed and proposed to solve this problem In this paper a new nature inspired algorithm symbiotic organism search is proposed to solve the generator maintenance scheduling problem To examine the efficiency of the proposed algorithm two test systems 4-units and 22-units system are considered The simulation results are compared with that of other existing algorithms which reveal that the proposed method has merit in terms of solution quality