Title :
Expectative modeling of wide-area damping networked control systems with long stochastic time delay
Author :
Zhang Xinran ; Lu Chao ; Han Yingduo
Author_Institution :
State Key Lab. of Control & Simulation of Power Syst. & Generation Equipments, Tsinghua Univ., Beijing, China
Abstract :
In this paper, the impact of stochastic time delay on wide-area damping networked control systems is analyzed. A disintegrate method of time-delay upon sampling period is approved. Furthermore, the expectative model of networked control systems with long and stochastic time delay, whose variance extent is larger than one sampling period, is theoretically proved and calculated. Finally, the effectiveness of this expectative model is confirmed on the simulation of a power system with 8 generators and 36 nodes.
Keywords :
damping; delays; networked control systems; power control; power system simulation; sampling methods; stochastic processes; vibration control; disintegrate method; expectative modeling; long-stochastic time delay; power system simulation; sampling period; variance extent; wide-area damping networked control system analysis; Analytical models; Damping; Delays; Networked control systems; Power system stability; Stochastic processes; Expectative Model; Long Stochastic Time Delay; Networked Control System; Wide Area Damping Control;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561479