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Publikováno v:
Journal of Control, Automation and Electrical Systems. 33:698-709
This work presents a methodology for the identification of inter-area oscillations from real data acquired by Phasor Measurement Units (PMUs). The novelties of this methodology are the joint application of a parametric and a nonparametric method, and
Publikováno v:
International Journal of Electrical Power & Energy Systems. 106:411-419
This paper presents a new method to identify classes of events, by processing phasor measurement units (PMU) frequency data through deep neural networks. Deep tapered Multi-layer Perceptrons of the half-autoencoder type, Deep Belief Networks and Conv
Autor:
Juliana Luiza Pereira, I.C. Decker
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
Neste trabalho são apresentados estudos de uma metodologia de estimação de modos de oscilação eletromecânica para dados de ambiente em sistemas reais de grande porte. A metodologia de estimação e análise é composta por técnicas de processa
Publikováno v:
International Journal of Electrical Power & Energy Systems. 136:107594
Nowadays, there is a clear need for Machine Learning methods capable of extracting relevant and reliable information from synchrophasor data. In this paper, the application of an explainable data-driven method is carried out in order to inspect the p
Autor:
I.C. Decker, Guido Rossetto Moraes, Eduardo H.Z. Arruda, Antonio F. C. Aquino, Rodrigo Vaz, Diego Issicaba, Jyvago C.B.S. Terceiro
Publikováno v:
International Journal of Electrical Power & Energy Systems. 130:106919
This paper presents an approach to automatically analyse events on electric power systems using data from phasor measurement units installed at low voltage level. The proposed approach is based on the application of multiresolution analysis through t
Publikováno v:
2018 IEEE Power & Energy Society General Meeting (PESGM).
One new challenge, with the massive penetration of renewable generation (wind and solar), is the decline of the Electrical Power System’s (EPS) frequency response. In order to deal with this new scenario, the development of tools to estimate key va
Publikováno v:
Journal of Control, Automation and Electrical Systems. 26:441-453
In this paper, subspace methods are applied to the identification of the dominant electromechanical oscillation modes of a large power system, using ambient data. The data are acquired by a low-voltage WAMS. Complementary techniques for the preproces
Autor:
I.C. Decker, J. E. Gomez
Publikováno v:
Electric Power Systems Research. 119:207-217
The validation of simulation models is a crucial step in power system security analysis. In this paper, a new methodology is proposed to approach this problem, using events recorded by a synchrophasor measurement system. The method is based on the ch