The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Distributed Consensus-Based Economic Dispatch With Transmission Losses
Abstract
A distributed algorithm is presented to solve the economic power dispatch with transmission line losses and generator constraints. The proposed approach is based on two consensus algorithms running in parallel. The first algorithm is a first-order consensus protocol modified by a correction term which uses a local estimation of the system power mismatch to ensure the generation-demand equality. The second algorithm performs the estimation of the power mismatch in the system using a consensus strategy called consensus on the most up-to-date information. The proposed approach can handle networks of different size and topology using the information about the number of nodes which is also evaluated in a distributed fashion. Simulations performed on standard test cases demonstrate the effectiveness of the proposed approach for both small and large systems.
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
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788 · cited 3×
“In the consensus problem [17], [18], all nodes reach the same state, that is”
BackgroundCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Cited by
Distributed Optimal Energy Management for Energy Internet
Zhang, H., Li, Y., Gao, D. W., & Zhou, J. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2714199 · Cited by 284
Metadata
- Authors
- Binetti, G., Davoudi, A., Lewis, F. L., Naso, D., & Turchiano, B.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2014-07
- Volume
- 29
- Issue
- 4
- Pages
- 1711-1720
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2117618281
- Cited by
- 477
- References
- 2
- FWCI
- 22.46
- 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: Distributed Consensus-Based Economic Dispatch With Transmission Losses. https://app.cochat.ai/papers/10.1109/tpwrs.2014.2299436
- The paper
- Binetti, G., Davoudi, A., Lewis, F. L., Naso, D., & Turchiano, B. (2014). Distributed Consensus-Based Economic Dispatch With Transmission Losses. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2014.2299436
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.
