Explanation of Particle Swarm Optimization and the Application in Power Systems

Abstract

This paper presents the explanation and the application of meta-heuristics in power systems. General optimizations are defined as an iterative solution search algorithm that makes use of simple rules or heuristics to obtain better solutions. In recent years, the research reports of meta-heuristics have been positively made to solve the complicated optimization problems. In this paper, the recent trends on the application of particle swarm optimization method are discussed, which can be applied to the solution of a wide range of optimization problems with both continuous and discrete variables.