The DOI matches its Crossref record.
Distribution system state estimation
Abstract
A three-phase distribution system state estimation algorithm is proposed in this paper. The normal equation method is used to compute the real-time states of distribution systems modeled by their actual a-b-c phases. A current based formulation is introduced and compared with other formulations. Observability analysis for the proposed distribution system state estimation is discussed. Test results indicate that the normal equation method is applicable to the distribution system state estimation and the current based rectangular form formulation is suitable for this application.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Dehghanpour, K., Wang, Z., Wang, J., Yuan, Y., & Bu, F. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2870600 · Cited by 485
Bayesian State Estimation for Unobservable Distribution Systems Via Deep Learning
Mestav, K. R., Luengo-Rozas, J., & Tong, L. (2019) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2019.2919157 · Cited by 216
Metadata
- Authors
- Lu, C. N., Teng, J. H., & Liu, W.-H. E.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1995
- Volume
- 10
- Issue
- 1
- Pages
- 229-240
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2129338541
- Cited by
- 449
- References
- 0
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Distribution system state estimation. https://app.cochat.ai/papers/10.1109/59.373946
- The paper
- Lu, C. N., Teng, J. H., & Liu, W.-H. E. (1995). Distribution system state estimation. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.373946
Data sources
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.
