Optimal Location of SMES for Improving Power System Voltage Stability

Author

Huang, Xiaohua ; Zhang, Guomin ; Xiao, Liye

Author_Institution

Key Lab. of Appl. Supercond., Chinese Acad. of Sci., Beijing, China

Volume

20

Issue

3

fYear

2010

fDate

6/1/2010 12:00:00 AM

Firstpage

1316

Lastpage

1319

Abstract

Superconducting magnetic energy storage (SMES) system is an equipment that can help improving the stability of a power system. Location of SMES in multi-nodes power network plays a significant role for the stability improvement level. In this paper, based on the quantitative voltage stability index, genetic algorithm (GA) is used for optimization of the SMES location. The voltage stability index is used as the fitness function in GA. The GA mathematic parameters and optimal flow chart are presented. The proposed algorithm is tested in an IEEE 14-bus system. Simulation results show that the SMES is settled on the best site through GA optimization during the period of the voltage stability fault.

Keywords

IEEE standards; distribution networks; genetic algorithms; power system stability; superconducting magnet energy storage; GA optimisation; IEEE 14-bus system; SMES optimal location; genetic algorithm; mathematic parameters; multinodes power network; power system voltage stability; quantitative voltage stability index; superconducting magnetic energy storage; Genetic algorithm; optimal location; superconducting magnetic energy storage; transmission network; voltage stability;

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/TASC.2010.2044988

Filename

5444930