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Cited by 767

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Electric power system state estimation

Monticelli, A.·2000·Proceedings of the IEEE
DOI 10.1109/5.824004
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Abstract

This paper discusses the state of the art in electric power system state estimation. Within energy management systems, state estimation is a key function for building a network real-time model. A real-time model is a quasi-static mathematical representation of the current conditions in an interconnected power network. This model is extracted at intervals from snapshots of real-time measurements (both analog and status). The new modeling needs associated with the introduction of new control devices and the changes induced by emerging energy markets are making state estimation and its related functions more important than ever.

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Metadata

Authors
Monticelli, A.
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2000-02
Volume
88
Issue
2
Pages
262-282
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
DOI
10.1109/5.824004
OpenAlex
W2140900554
Cited by
767
References
0
FWCI
5.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electric power system state estimation. https://app.cochat.ai/papers/10.1109/5.824004
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Monticelli, A. (2000). Electric power system state estimation. Proceedings of the IEEE. https://doi.org/10.1109/5.824004

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.