The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation
Abstract
This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA).
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
Genetic Algorithms and Engineering Optimization
Gen, M., & Cheng, R. (1999) · doi:10.1002/9780470172261 · Cited by 2,548
Cited by
Energy Management and Optimization Methods for Grid Energy Storage Systems
Byrne, R. H., Nguyen, T. A., Copp, D. A., Chalamala, B. R., & Gyuk, I. (2018) · IEEE Access · doi:10.1109/access.2017.2741578 · Cited by 406
Day-ahead resource scheduling of a renewable energy based virtual power plant
Zamani, A. G., Zakariazadeh, A., & Jadid, S. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.02.011 · Cited by 266
Yang, Q., Wang, H., Wang, T., Zhang, S., Wu, X., & Wang, H. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117026 · Cited by 238
Gao, Y., Zhou, X., Ren, J., Wang, X., & Li, D. (2018) · Energies · doi:10.3390/en11113072 · Cited by 28
Metadata
- Authors
- Mashhour, E., & Moghaddas-Tafreshi, S. M.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2011-05
- Volume
- 26
- Issue
- 2
- Pages
- 949-956
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2165046071
- Cited by
- 519
- References
- 1
- FWCI
- 5.98
- 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: Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation. https://app.cochat.ai/papers/10.1109/tpwrs.2010.2070884
- The paper
- Mashhour, E., & Moghaddas-Tafreshi, S. M. (2011). Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2010.2070884
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.
