Electromechanical Mode Estimation in the Presence of Periodic Forced Oscillations
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- 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
Web of Science
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