The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimating the Voltage Stability of a Power System
Abstract
A method for the online testing a power system is proposed which is aimed at the detection of voltage instabilities. Thereby an indicator L is defined which varies in the range between 0 (noload of system) and 1 (voltage collapse). Based on the basic concept of such an indicator various models are derived which allow to predict a voltage instability or the proximity of a collapse. The indicator uses information of a normal load flow. The advantage of the method lies in the simplicity of the numerical calculation and the expressiveness of the result.
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
Cites
Quantitative Analysis of Steady State Stability in Power Networks
Jarjis, J., & Galiana, F. D. (1981) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1981.316845 · Cited by 106
Cited by
Optimal power flow using gravitational search algorithm
Duman, S., Güvenç, U., Sönmez, Y., & Yörükeren, N. (2012) · Energy Conversion and Management · doi:10.1016/j.enconman.2012.02.024 · Cited by 502
Impact of electric vehicle charging station load on distribution network
Deb, S., Tammi, K., Kalita, K., & Mahanta, P. (2018) · Energies · doi:10.3390/en11010178 · Cited by 476
Multi-objective harmony search algorithm for optimal power flow problem
Sivasubramani, S., & Swarup, K. S. (2011) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2010.12.031 · Cited by 332
Technique for contingency monitoring and voltage collapse prediction
Moghavvemi, M., & Omar, F. M. (1998) · IEE Proceedings - Generation, Transmission and Distribution · doi:10.1049/ip-gtd:19982355 · Cited by 321
Metadata
- Authors
- Kessel, P., & Glavitsch, H.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 1986
- Volume
- 1
- Issue
- 3
- Pages
- 346-354
- ISSN
- 0885-8977 (ISSN-L)
- OpenAlex
- W2109680636
- Cited by
- 1,113
- References
- 1
- FWCI
- 4.69
- 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: Estimating the Voltage Stability of a Power System. https://app.cochat.ai/papers/10.1109/tpwrd.1986.4308013
- The paper
- Kessel, P., & Glavitsch, H. (1986). Estimating the Voltage Stability of a Power System. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.1986.4308013
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.