Identification of voltage control areas in power systems with large scale wind power integration

W. M. Villa; J. L. Rueda; S. Torres; W. H. Peralta

doi:10.1109/TDC-LA.2012.6319092

Identification of voltage control areas in power systems with large scale wind power integration

W. M. Villa, J. L. Rueda, S. Torres, W. H. Peralta

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

11 Citas (Scopus)

Resumen

This paper presents a survey of the impact of large-scale wind power plants on the identification of Voltage Control Areas (VCAs). A Monte-Carlo based framework is proposed for the probabilistic analysis of variations in the arrangement of the VCAs, the critical buses as well as of estimation of the statistical properties of the loading margin. Test results, performed on the IEEE 39-bus system, showed that, although the loading margin could be increased, some adverse implications on the overall reactive power support may entail an increased risk of voltage collapse.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 2012 6th IEEE/PES Transmission and Distribution
Subtítulo de la publicación alojada	Latin America Conference and Exposition, T and D-LA 2012
DOI	https://doi.org/10.1109/TDC-LA.2012.6319092
Estado	Publicada - 2012
Publicado de forma externa	Sí
Evento	2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012 - Montevideo, Uruguay Duración: 3 sep. 2012 → 5 sep. 2012

Serie de la publicación

Nombre	Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012

Conferencia

Conferencia	2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012
País/Territorio	Uruguay
Ciudad	Montevideo
Período	3/09/12 → 5/09/12

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/TDC-LA.2012.6319092

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Villa, W. M., Rueda, J. L., Torres, S., & Peralta, W. H. (2012). Identification of voltage control areas in power systems with large scale wind power integration. En Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012 Artículo 6319092 (Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012). https://doi.org/10.1109/TDC-LA.2012.6319092

Villa, W. M. ; Rueda, J. L. ; Torres, S. et al. / Identification of voltage control areas in power systems with large scale wind power integration. Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012. 2012. (Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012).

@inproceedings{75f6877f134c427d8e0ca570561692e4,

title = "Identification of voltage control areas in power systems with large scale wind power integration",

abstract = "This paper presents a survey of the impact of large-scale wind power plants on the identification of Voltage Control Areas (VCAs). A Monte-Carlo based framework is proposed for the probabilistic analysis of variations in the arrangement of the VCAs, the critical buses as well as of estimation of the statistical properties of the loading margin. Test results, performed on the IEEE 39-bus system, showed that, although the loading margin could be increased, some adverse implications on the overall reactive power support may entail an increased risk of voltage collapse.",

keywords = "Continuation power flow, load flow, modal analysis, Monte Carlo method, voltage control areas, voltage stability, wind power plant modeling",

author = "Villa, \{W. M.\} and Rueda, \{J. L.\} and S. Torres and Peralta, \{W. H.\}",

year = "2012",

doi = "10.1109/TDC-LA.2012.6319092",

language = "Ingl{\'e}s",

isbn = "9781467326711",

series = "Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012",

booktitle = "Proceedings of the 2012 6th IEEE/PES Transmission and Distribution",

note = "2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012 ; Conference date: 03-09-2012 Through 05-09-2012",

}

Villa, WM, Rueda, JL, Torres, S & Peralta, WH 2012, Identification of voltage control areas in power systems with large scale wind power integration. En Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012., 6319092, Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012, 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012, Montevideo, Uruguay, 3/09/12. https://doi.org/10.1109/TDC-LA.2012.6319092

Identification of voltage control areas in power systems with large scale wind power integration. / Villa, W. M.; Rueda, J. L.; Torres, S. et al.
Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012. 2012. 6319092 (Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Identification of voltage control areas in power systems with large scale wind power integration

AU - Villa, W. M.

AU - Rueda, J. L.

AU - Torres, S.

AU - Peralta, W. H.

PY - 2012

Y1 - 2012

N2 - This paper presents a survey of the impact of large-scale wind power plants on the identification of Voltage Control Areas (VCAs). A Monte-Carlo based framework is proposed for the probabilistic analysis of variations in the arrangement of the VCAs, the critical buses as well as of estimation of the statistical properties of the loading margin. Test results, performed on the IEEE 39-bus system, showed that, although the loading margin could be increased, some adverse implications on the overall reactive power support may entail an increased risk of voltage collapse.

AB - This paper presents a survey of the impact of large-scale wind power plants on the identification of Voltage Control Areas (VCAs). A Monte-Carlo based framework is proposed for the probabilistic analysis of variations in the arrangement of the VCAs, the critical buses as well as of estimation of the statistical properties of the loading margin. Test results, performed on the IEEE 39-bus system, showed that, although the loading margin could be increased, some adverse implications on the overall reactive power support may entail an increased risk of voltage collapse.

KW - Continuation power flow

KW - load flow

KW - modal analysis

KW - Monte Carlo method

KW - voltage control areas

KW - voltage stability

KW - wind power plant modeling

UR - https://www.scopus.com/pages/publications/84869436028

U2 - 10.1109/TDC-LA.2012.6319092

DO - 10.1109/TDC-LA.2012.6319092

M3 - Contribución a la conferencia

AN - SCOPUS:84869436028

SN - 9781467326711

T3 - Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012

BT - Proceedings of the 2012 6th IEEE/PES Transmission and Distribution

T2 - 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012

Y2 - 3 September 2012 through 5 September 2012

ER -

Villa WM, Rueda JL, Torres S, Peralta WH. Identification of voltage control areas in power systems with large scale wind power integration. En Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012. 2012. 6319092. (Proceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012). doi: 10.1109/TDC-LA.2012.6319092

Identification of voltage control areas in power systems with large scale wind power integration

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