POP analysis and optimization of a maintenance scheduling problem in electric power systems

Abstract

This paper presents the POP (Proximate Optimality Principle) analysis and the optimization of a generator maintenance scheduling in electric power systems. The generator maintenance scheduling problem is to determine an optimal maintenance period of the respective generators with various constrains, and can be formulated as a combinatorial optimization problem. While POP analysis of the generator maintenance scheduling problem is carried out and using some different types of model systems, improvement of Tabu Search is achieved by the reduction of search space. The advantages of the proposed approach are demonstrated on typical model systems.