The Research Of Structure Optimization Based On Intelligent Algorithm

Structure optimization of the distribution network grid is a multi-target, multi-target, multi-step, discrete, nonlinear and constrained hybrid integral programming problem. Scholars of the world have done a good deal of study to this question for a long time and many algorithms have been formed. It is difficult to deal with this complex question by using traditional mathematical method. In recent years, intelligent algorithms become widely accepted in this field. In this paper, current research of structure optimization and models of distribution network grid is introduced; the search efficiency and convergence property of several emerging intelligent optimization methods are analyzed. This paper introduces ant algorithm and TS-ACO hybrid algorithm for distribution network planning and an example shows the effectiveness of the both algorithms.