Masoud Jokar Kouhanjani - Young Researchers and Elite Club, Dariun Branch, Islamic Azad University, Dariun, Iran
Ali Keshavarz - School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
Alireza Seifi - School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

Generally the electric power system encompasses three parts: generation, transmission, and distribution that all require maintenance to improve reliability and energy efficiency of the power system. Most of generation maintenance scheduling (GMS) packages focus on preventive maintenance scheduling for generating units over one or two years to decrease the total operation costs while system energy requirements are provided. In advanced power systems, the inclusion of system such as fuel, crew, budget limitations, and demand for electricity have highly increased as well as expansions in the size of system. So they have led to higher number of generators and lower reserve margins, making the generator maintenance scheduling problem more complex. This paper proposes budget and a static security margin constrained model for preventive generation maintenance scheduling problem. In order to have a better optimized scheduling, a multi objective function (economic cost and reliability) is solved. For more realistic study, a novel manpower constraint as well as relationship constraints for solving multi objective function is considered for the proposed maintenance scheduling problem. A test system including 21-genarators is employed for simulation and shows the accuracy of results

Generation maintenance scheduling, multi objective function, GMS, system reserve, preventive maintenance, binary swarm, reliability, economic cost