DocumentCode :
2771423
Title :
Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO
Author :
Das, Tridib K. ; Jetti, Sandhya R. ; Venayagamoorthy, Ganesh K.
Author_Institution :
Univ. of Missouri Rolla, Rolla
fYear :
0
fDate :
0-0 0
Firstpage :
2255
Lastpage :
2260
Abstract :
Static var compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines. In this paper, two SVC damping controllers with single and dual inputs respectively are designed based on wide area measurements of generator speed deviations. A small population based particle swarm optimization algorithm (SPPSO) is applied to determine the optimal parameters of the damping controllers for small and large disturbances. Simulation results are provided to show that the effectiveness of the optimal damping controllers on the Kundur´s two-area benchmark power system. Results show the dual input controller further improves the damping provided by the single input controller.
Keywords :
control system synthesis; damping; optimal control; particle swarm optimisation; power system control; stability; static VAr compensators; voltage control; generator speed deviations; optimal design; particle swarm optimization algorithm; power transfer; static var compensator damping controllers; transient stability; transmission lines; two-area benchmark power system; voltage regulation; wide area measurements; Damping; Optimal control; Particle swarm optimization; Power system simulation; Power system transients; Power transmission lines; Stability; Static VAr compensators; Voltage control; Wide area measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.247022
Filename :
1716392
Link To Document :
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