An Improved ACO Algorithm for Service Restoration in Power Distribution Systems

Author

Lu, Zhigang ; Wen, Ying ; Yang, Lijun

Author_Institution

Key Lab. of Power Electron. for Energy Conservation & Motor Drive, Yanshan Univ., Qinhuangdao

fYear

2009

fDate

27-31 March 2009

Firstpage

1

Lastpage

4

Abstract

Considering the radial network constraint of the distribution system, an improved Ant colony optimization (ACO) algorithm combined with stochastic spanning tree algorithm is proposed in this paper. The proposed method applied in handling the service restoration problem in power distribution systems. In order to improve the searching efficiency, the behaviors of the ants are controlled in the feasible set by the spanning tree algorithm, and the paper also introduces two improved aspects in ACO algorithm. The results on three IEEE test systems show the prominent efficiency and the global search ability of the algorithm.

Keywords

distribution networks; optimisation; power system restoration; stochastic processes; trees (mathematics); IEEE test systems; ant colony optimization; power distribution systems; service restoration; stochastic spanning tree algorithm; Ant colony optimization; Cities and towns; Energy conservation; Motor drives; Power distribution; Power electronics; Power system restoration; Stochastic systems; Switches; Switching circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2486-3

Electronic_ISBN

978-1-4244-2487-0

Type

conf

DOI

10.1109/APPEEC.2009.4918137

Filename

4918137