Title :
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
fDate :
6/1/2010 12:00:00 AM
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;
Journal_Title :
Applied Superconductivity, IEEE Transactions on
DOI :
10.1109/TASC.2010.2044988
