Title :
Power system dynamic state estimation with random communication packets loss
Author :
Tai, Xin ; Marelli, Damián ; Fu, Minyue
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Newcastle, NSW, Australia
Abstract :
In this paper power system dynamic state estimation problem is studied considering random communication packet losses. Two sorts of stochastic processes, i.i.d. process and Markov process, are respectively utilized to model two different communication packet losses cases. The first case only considers packet losses rate, and the second case includes both of packet losses rate and recovery rate. The degradation of the performance of state estimation caused by communication packet losses is analyzed on IEEE 14 buses test system, and numerical results are given.
Keywords :
Markov processes; losses; power system state estimation; IEEE 14 buses test system; Markov process; communication packet loss; packet recovery rate; power system dynamic state estimation; stochastic process; Communication networks; Covariance matrix; Markov processes; Mathematical model; Power system dynamics; State estimation;
Conference_Titel :
Advanced Control of Industrial Processes (ADCONIP), 2011 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-7460-8
Electronic_ISBN :
978-988-17255-0-9
