Remote power system stabilizer tuning using synchrophasor data

Author

Arunagirinathan, Paranietharan ; Abdelsalam, Hany A. ; Venayagamoorthy, Ganesh K.

Author_Institution

Holcombe Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA

fYear

2014

fDate

9-12 Dec. 2014

Firstpage

1

Lastpage

7

Abstract

Power system stabilizer (PSS) tuning is an important and challenging task in today´s power system. In order to investigate the use of remote measurements of generator speed signals in respective PSS tuning, data from phasor measurement units (PMUs) are used in this paper. The PSSs parameter remote tuning is illustrated using a real-time digital simulator (RTDS). A MATLAB-based particle swarm optimization (PSO) algorithm is implemented including the interface with the RTDS system. The two-area four-machine power system benchmark is simulated, and speed signals obtained from PMUs are used in the tuning process. The best parameters obtained for PSSs and typical results are presented to show the effectiveness of using PMU measurements for remote tuning of a number of PSSs.

Keywords

particle swarm optimisation; phasor measurement; power system stability; tuning; MATLAB; PMU; PSO algorithm; PSS tuning; RTDS; four-machine power system benchmark; generator speed signals; particle swarm optimization; phasor measurement units; real-time digital simulator; remote power system stabilizer tuning; synchrophasor data; Generators; MATLAB; Phasor measurement units; Power system stability; Real-time systems; Tuning; Particle swarm optimization; RTDS; phasor measurement units; power system stabilizer; remote tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on

Conference_Location

Orlando, FL

Type

conf

DOI

10.1109/CIASG.2014.7011565

Filename

7011565