The optimal allocation of D-SMES for enhancing transient stability of power system

Author

Shu Wang ; Yuejin Tang ; Jing Shi ; Yajun Xia ; Kang Gong

Author_Institution

State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

1359

Lastpage

1361

Abstract

This paper proposes a method to determine the optimal allocation of distributed superconducting magnetic energy storage system (D-SMES) capacity for enhancing the transient stability of power system. A kind of multi-objective evolutionary algorithm (MOEA) is adopted to find the optimal allocation when a certain number of D-SMES devices are deployed in the certain location of the system. The index of trajectory of generator speed after large disturbance is adopted to indicate the stability of power system. Then, the simulation with the Western Systems Coordinating Council (WSCC) three-machine nine-bus power system is evaluated.

Keywords

evolutionary computation; power system stability; superconducting magnet energy storage; D-SMES devices; MOEA; WSCC three-machine nine-bus power system; Western Systems Coordinating Council; distributed superconducting magnetic energy storage system; generator speed trajectory; multiobjective evolutionary algorithm; optimal allocation; power system stability; transient stability; Evolutionary computation; Indexes; Power system stability; Resource management; Stability criteria; Transient analysis; distributed superconducting magnetic energy storage (D-SMES); optimal allocation; transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976535

Filename

6976535