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State estimation
for large power distribution systems
Dr. J. Besada-Juez, A. González-Bordagaray,
J. Ferro-Vázquez, G. Plaza-González
2019/07/15
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Abstract
This article presents the modifications andimprovements
that have been included over the classic formulation of the state estimation
to be able to run in real networks with large power distribution systems.
Improvements include a new penalty term that keeps bus consumption or
power generation within an allowed band and the inclusion of dynamic elements
such as voltage regulators and capacitor batteries.
A complete algorithm is presented that is capable of operating on large
power systems in near real time. This algorithm and the results have been
tested with numerous cases of real distribution networks covering large
geographical areas, obtaining very good results and demonstrating the
enormous usefulness of this approach.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 17) |
| Pages: 177-182 |
Date of Publication: 2019/07/15 |
| ISSN: 2172-038X |
Date of Current Version:2019/04/10 |
| REF: 256-19 |
Issue Date: July 2019 |
| DOI:10.24084/repqj17.256 |
Publisher: EA4EPQ |
Authors and affiliations
Dr. J. Besada-Juez1, A. González-Bordagaray2,
J. Ferro-Vázquez2, G. Plaza-González1
1. Department of Software Engineering. Qwi Tecnologías de la Información.
Madrid (Spain)
2. Operation Technical Services. Iberdrola Distribución Eléctrica.
Bilbao (Spain)
Key words
State estimation, measurement quality, large power distribution
systems.
References
[1] John J. Grainger, William D. Stevenson, Power
System Analysis McGraw-Hill (1994).
[2] Ali Abur, Antonio Gomez Exposito, Power System State Estimation
Theory and Implementation, CRC Press (2004).
[3] Yousu Chen, Weighted-Least-Square State Estimation, PNNL
(2015).
[4] George N. Korres, A Robust Method por Equality Constrained State
Estimation, IEEE Transactions on Power Systems (2002).
[5] Jian Chen, Measurement Enhancement for State Estimation,
Texas A&M University (2008).
[6] James D. McCalley, Electrical Power Transmission, Iowa
State University (1998).

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