Analysis of measurement set qualitative characteristics for state estimation purposes (2005)
- Authors:
- USP affiliated authors: LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; BRETAS, NEWTON GERALDO - EESC ; ALBERTO, LUIS FERNANDO COSTA - EESC
- Unidade: EESC
- Assunto: SISTEMAS ELÉTRICOS DE POTÊNCIA
- Language: Inglês
- Imprenta:
- Publisher: IEEE/PES
- Publisher place: San Francisco
- Date published: 2005
- ISBN: 0780391578
- Conference titles: IEEE Power Engineering Society General Meeting
-
ABNT
LONDON JÚNIOR, João Bosco Augusto e BRETAS, Newton Geraldo e ALBERTO, Luís Fernando Costa. Analysis of measurement set qualitative characteristics for state estimation purposes. 2005, Anais.. San Francisco: IEEE/PES, 2005. . Acesso em: 10 out. 2024. -
APA
London Júnior, J. B. A., Bretas, N. G., & Alberto, L. F. C. (2005). Analysis of measurement set qualitative characteristics for state estimation purposes. In . San Francisco: IEEE/PES. -
NLM
London Júnior JBA, Bretas NG, Alberto LFC. Analysis of measurement set qualitative characteristics for state estimation purposes. 2005 ;[citado 2024 out. 10 ] -
Vancouver
London Júnior JBA, Bretas NG, Alberto LFC. Analysis of measurement set qualitative characteristics for state estimation purposes. 2005 ;[citado 2024 out. 10 ] - 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
- Application of the undetectability index to design reliable metering systems for bad data processing
- Geometrical approaches for gross errors analysis in power systems state estimation
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