Distribution Network Reconfiguration Basedl on Modified Particle Swarm Optimization Algorithm

Author

Wang, Cui-Ru ; Zhang, Yun-e

Author_Institution

Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2076

Lastpage

2080

Abstract

As a non-liner optimal problem, distribution network reconfiguration (DNR) impacts on economic benefit of power system greatly. In this paper, a modified particle swarm algorithm (MPSO) has been presented to solve the complex optimization problem. In the MPSO algorithm, the particles are initialized with chaos optimization method in its sub-area, which reduces the influence caused by the particle´s initial position. The mean optimum of individual is introduced, which makes one particle acquire more information to adjust its movement. Finally, we propose the method which uses MPSO algorithm to solve DNR problem. The numeric simulation for IEEE 69-bus system shows that MPSO algorithm is feasible to solve DNR problem

Keywords

particle swarm optimisation; power distribution economics; IEEE 69-bus system; MPSO algorithm; chaos optimization method; complex optimization problem; distribution network reconfiguration; modified particle swarm optimization algorithm; nonliner optimal problem; Chaos; Computer science; Convergence; Cybernetics; Electronic mail; Linear programming; Machine learning; Machine learning algorithms; Mathematics; Numerical simulation; Optimization methods; Particle swarm optimization; Switches; Particle swarm optimization; chaos optimization; distribution network reconfiguration; modified particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258346

Filename

4028406