Recovery of Distribution Network Based on Optimization and Artificial Intelligent

Author

Lun Li

Author_Institution

Dept. of Electr. & Electron. Eng., EastChian JiaoTong Univ., Nanchang, China

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

4

Abstract

Recovery of distribution network is an important part of distribution automation, and it is also the basis of self-healing of the smart grid. The model of recovery of distribution network is constructed based on the principle of the optimization. considering its multi-objective, non-linear characteristics of combinatorial optimization, genetic algorithm is used to solve the issue of recovery. The feasibility and effectiveness of this method is verified by the example of the 13 nodes network.

Keywords

artificial intelligence; combinatorial mathematics; genetic algorithms; nonlinear programming; power distribution faults; power engineering computing; smart power grids; artificial intelligent; combinatorial optimization; distribution automation; distribution network recovery; genetic algorithm; multiobjective characteristics; nonlinear characteristics; self-healing; smart grid; Biological cells; Genetic algorithms; Linear programming; Optimization; Sociology; Statistics; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307655

Filename

6307655