Title :
Identification of SVC dynamics using wide area signals in a power system
Author :
Jetti, S.R. ; Venayagamoorthy, G.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO
Abstract :
This paper presents the design of a wide area monitor (WAM) using remote area signals, such as speed deviations of generators in a power network, for identifying online the dynamics of a static var compensator (SVC). The design of the WAM is studied on the 12 bus FACTS benchmark system recently introduced. A predict-correct method is used to enhance the performance of the WAM during online operation. Simulation results are presented to show that WAM can correctly identify the dynamics of SVC in a power system for small and large disturbances. Such WAMs can be applied in the design of adaptive SVC controllers for damping interarea oscillations in power networks
Keywords :
control system synthesis; distribution networks; electric generators; flexible AC transmission systems; monitoring; power system measurement; predictor-corrector methods; static VAr compensators; transmission networks; 12 bus FACTS benchmark system; SVC controller design; generator speed deviations; interarea oscillation damping; online identification; power network; power system; predict-correct method; remote area signals; static var compensator; wide area monitor; Adaptive control; Power generation; Power system dynamics; Power system simulation; Programmable control; Remote monitoring; Signal design; Signal generators; Signal processing; Static VAr compensators; Benchmark FACTS Power System; Neural Networks; Remote Signals; SVC; System Identification; Wide Area Monitor;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709486
