Swarm-based optimal power flow considering generator fault in distribution systems

Author

Kang, Qi ; Lan, Tian ; Yan, Yong ; An, Jing ; Wang, Lei

Author_Institution

Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China

fYear

2011

fDate

9-12 Oct. 2011

Firstpage

786

Lastpage

790

Abstract

This paper presents an efficient and reliable approach based on swarm intelligence to solve the optimal power flow problem. The optimal setting of distributed generations (DGs) is addressed if one or more generators broken down in a power distribution system, to achieve minimization of fuel cost and voltage profile stability. The proposed approach employs particle swarm optimization (PSO) and group search optimizer (GSO) for optimal setting of DGs. These algorithms are executed and compared on IEEE 14-bus test system, respectively. The results confirm the effectiveness and potential application of the proposed swarm-based optimization method in power distribution systems.

Keywords

distributed power generation; optimisation; power distribution faults; power system stability; search problems; IEEE 14-bus test system; distributed generations; fuel cost minimization; generator fault; group search optimizer; particle swarm optimization; power distribution system; swarm based optimal power flow; swarm based optimization method; swarm intelligence; voltage profile stability; Distributed power generation; Fuels; Generators; Load flow; Optimization; Particle swarm optimization; Power system stability; generator fault; optimal power flow; optimal settings; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1062-922X

Print_ISBN

978-1-4577-0652-3

Type

conf

DOI

10.1109/ICSMC.2011.6083748

Filename

6083748