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Title: Electromechanical Mode Estimation in the Presence of Periodic Forced Oscillations

Journal Article · · IEEE Transactions on Power Systems
 [1];  [1];  [2];  [2]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Univ. of Wyoming, Laramie, WY (United States)

Electromechanical modes are inherent to any inter-connected power systems which provide a measure of the small-signal stability margin of the system. A number of algorithms have been developed for the estimation of these modes using synchrophasor measurements. However, most of these algorithms are not designed to operate in the presence of forced oscillations (FO). These FOs are results of periodic rogue input driving the system. When FOs are present, estimates of system modes can be biased depending on the frequency and the amplitude of the FOs. To tackle this problem, a new algorithm is proposed in this paper to estimate system modes in the presence of FOs. In the proposed method, the over-determined modified Yule-Walker method which is used to estimate AR coefficients of an ARMA (Auto-Regressive Moving-Average) signal model is extended to an ARMA with exogenous input (ARMAX) model that incorporates the presence of FOs. Two versions of the proposed method are included in this paper based on the requirement of the information of the duration of FOs in the signal. Furthermore, the results obtained by implementing the proposed algorithm on simulated data and real-world data validate the effectiveness of both versions of the proposed method.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231; SC0012671; AC05-76RL01830
OSTI ID:
1480129
Journal Information:
IEEE Transactions on Power Systems, Vol. 34, Issue 2; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science

Figures / Tables (6)