Application of the undetectability index to design reliable metering systems for bad data processing (2013)
- Authors:
- USP affiliated authors: BRETAS, NEWTON GERALDO - EESC ; ALBERTO, LUÍS FERNANDO COSTA - EESC ; LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC
- Unidade: EESC
- Assunto: SISTEMAS ELÉTRICOS DE POTÊNCIA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2013
- ISBN: 9781479913039
- Conference titles: IEEE PES General Meeting
-
ABNT
BENEDITO, Raphael Augusto de Souza et al. Application of the undetectability index to design reliable metering systems for bad data processing. 2013, Anais.. Piscataway: IEEE, 2013. . Acesso em: 05 out. 2024. -
APA
Benedito, R. A. de S., Bretas, N. G., Alberto, L. F. C., & London Junior, J. B. A. (2013). Application of the undetectability index to design reliable metering systems for bad data processing. In . Piscataway: IEEE. -
NLM
Benedito RA de S, Bretas NG, Alberto LFC, London Junior JBA. Application of the undetectability index to design reliable metering systems for bad data processing. 2013 ;[citado 2024 out. 05 ] -
Vancouver
Benedito RA de S, Bretas NG, Alberto LFC, London Junior JBA. Application of the undetectability index to design reliable metering systems for bad data processing. 2013 ;[citado 2024 out. 05 ] - Undetectable errors in power system measurements
- A topological approach to the identification of critical measurements in power-system state estimation
- Smooth perturbation on a classical energy function for lossy power system stability analysis
- Topologic analysis of undetectable errors in power system state estimation
- Geometrical approach on masked gross errors for power systems state estimation
- Power system state estimation: undetectable bad data
- Discussion on placement of PMUs to enable bad data detection in state estimation
- Analysis of measurement-set qualitative characteristics for state-estimation purposes
- Analysis of measurement set qualitative characteristics for state estimation purposes
- Geometrical approaches for gross errors analysis in power systems state estimation
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