Detection and Analysis of Electromechanical Oscillation in Power Systems with Low-Sampled Data Using Modal Analysis Methods

2020 ◽  
Vol 15 (5) ◽  
pp. 1999-2006
Author(s):  
Jong-Oh Baek ◽  
Soobae Kim
2019 ◽  
Vol 302 ◽  
pp. 01011
Author(s):  
Marcin Łukasiewicz ◽  
Michał Liss ◽  
Natalia Dluhunovych

The paper presents the possibilities of using vibroacoustic methods in the study of the technical condition of designed multimedia mobile scenes. In particular, the possibility of implementing modal analysis methods in modelling and diagnostic research process has been presented. The use of virtual methods enables diagnostic tests both at the design stage and at the stage of normal operation, whereas modal methods help to explain the nature of the work of the element under investigation.


Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1249 ◽  
Author(s):  
Nnaemeka Sunday Ugwuanyi ◽  
Xavier Kestelyn ◽  
Bogdan Marinescu ◽  
Olivier Thomas

Increasing nonlinearity in today’s grid challenges the conventional small-signal (modal) analysis (SSA) tools. For instance, the interactions among modes, which are not captured by SSA, may play significant roles in a stressed power system. Consequently, alternative nonlinear modal analysis tools, notably Normal Form (NF) and Modal Series (MS) methods are being explored. However, they are computation-intensive due to numerous polynomial coefficients required. This paper proposes a fast NF technique for power system modal interaction investigation, which uses characteristics of system modes to carefully select relevant terms to be considered in the analysis. The Coefficients related to these terms are selectively computed and the resulting approximate model is computationally reduced compared to the one in which all the coefficients are computed. This leads to a very rapid nonlinear modal analysis of the power systems. The reduced model is used to study interactions of modes in a two-area power system where the tested scenarios give same results as the full model, with about 70% reduction in computation time.


1991 ◽  
Vol 111 (8) ◽  
pp. 850-858
Author(s):  
Kithsiri M. Liyanage ◽  
Akihiko Yokoyama ◽  
Yasuji Sekine
Keyword(s):  

1987 ◽  
Vol 2 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Jose Luis Naredo ◽  
Jose Luis Silva ◽  
Ricardo Romero ◽  
Pablo Moreno

1982 ◽  
Vol PER-2 (9) ◽  
pp. 29-30 ◽  
Author(s):  
I. J. Perez-Arriaga ◽  
G. C. Verghese ◽  
F. C. Schweppe

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