Electromechanical Mode Estimation Using Recursive Adaptive Stochastic Subspace Identification

TitleElectromechanical Mode Estimation Using Recursive Adaptive Stochastic Subspace Identification
Publication TypeJournal Article
Year of Publication2014
AuthorsS. Arash Nezam Sarmadi, Vaithianathan Venkatasubramanian
JournalIEEE Transactions on Power Systems
Pagination349 - 358
Date Published01/2014
KeywordsAA13-004, AARD, CERTS, oscillations, phasor measurement units (PMUs)

Measurement based algorithms for estimating low-frequency electromechanical modes serve as useful practical methods to monitor the modal properties of power system oscillations in real-time. This paper proposes a recursive adaptive stochastic subspace identification (RASSI) algorithm for online monitoring of power system modes using wide-area synchrophasor data. The proposed method gives an online estimation of mode frequency and damping ratio as well as mode shapes using multi-channel measurement data. It exploits both the accuracy of subspace identification and fast computational capability of recursive methods. An adaptive method is proposed to enable fast tracking of modal evolution under poorly damped conditions together with low estimation variance under quasi-steady-state conditions. The algorithms are tested using simulated data from Kundur two-area test power system as well as measured data from real systems.

Short TitleIEEE Trans. Power Syst.