Deterministic reliability model based preventive generator maintenance scheduling using Ant Lion Optimizer

Periodical maintenance of equipments enhances their performance as well as lifetime. Generating units are prime components in the power systems and their preventive maintenance schedule helps to improve the overall performance of the system. The deterministic reliability model depicts the actual situation of the preventive maintenance planning and this process is primarily reliability centered. The preventive Generator Maintenance Scheduling (GMS) is formulated as an optimization problem and the recently developed meta-heuristic algorithm namely Ant Lion Optimizer (ALO) is chosen as an optimization tool. The intended ALO algorithm is implemented on the well-known test systems and the numerical simulation results are compared with the earlier reports. The comparison indicates that the ALO is a promising alternative for solving generator maintenance scheduling problems.