The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Integrated PV Charging of EV Fleet Based on Energy Prices, V2G, and Offer of Reserves
Open accessAbstract
Workplace charging of electric vehicles (EVs) from photovoltaic (PV) panels installed on an office building can provide several benefits. This includes the local production and use of PV energy for charging the EV and making use of dynamic tariffs from the grid to schedule the energy exchange with the grid. The long parking time at the workplace provides the chance for the EV to support the grid via vehicle-to-grid technology, the use of a single EV charger for charging several EVs by multiplexing and the offer of ancillary services to the grid for up and down regulation. Further, distribution network constraints can be considered to limit the power and prevent the overloading of the grid. A single mixed integer linear programming (MILP) formulation that considers all the above applications has been proposed in this paper for a charging a fleet of EVs from PV. The MILP is implemented as a receding-horizon model predictive energy management system. Numerical simulations based on market and PV data in Austin, TX, USA, have shown 32% to 651% reduction in the net cost of EV charging from PV when compared to immediate and average rate charging policies.
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
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
Integration of renewable energy into the transport and electricity sectors through V2G
Lund, H., & Kempton, W. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.06.007 · Cited by 1,073
Online short-term solar power forecasting
Bacher, P., Madsen, H., & Nielsen, H. A. (2009) · Solar Energy · doi:10.1016/j.solener.2009.05.016 · Cited by 814
Review of solar irradiance forecasting methods and a proposition for small-scale insular grids
Diagne, M., David, M., Lauret, P., Boland, J. W., & Schmutz, N. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.06.042 · Cited by 808
Peterson, S. B., Apt, J., & Whitacre, J. F. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.10.010 · Cited by 799
An Optimized EV Charging Model Considering TOU Price and SOC Curve
Cao, Y., Tang, S., Li, C., Zhang, P., Tan, Y., Zhang, Z., & Li, J. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2159630 · Cited by 719
System design for a solar powered electric vehicle charging station for workplaces
Chandra Mouli, G. R., Bauer, P., & Zeman, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.110 · Cited by 479
Self-citationvan der Kam, M., & van Sark, W. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.04.092 · Cited by 341
Ortega‐Vazquez, M. A. (2014) · IET Generation, Transmission & Distribution · doi:10.1049/iet-gtd.2013.0624 · Cited by 332
Quantifying electric vehicle battery degradation from driving vs. vehicle-to-grid services
Wang, D., Coignard, J., Zeng, T., Zhang, C., & Saxena, S. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.09.116 · Cited by 320
Cited by
Interactions between electric mobility and photovoltaic generation: A review
Hoarau, Q., & Perez, Y. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.06.039 · Cited by 128
Ke, S., Chen, L., Yang, J., Li, G., Wu, F., Ye, L., Wei, W., & Wang, Y. (2022) · Energy Conversion and Economics · doi:10.1049/enc2.12070 · Cited by 40
Metadata
- Authors
- Chandra Mouli, G. R., Kefayati, M., Baldick, R., & Bauer, P.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2019-03
- Volume
- 10
- Issue
- 2
- Pages
- 1313-1325
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2765590643
- Cited by
- 264
- References
- 39
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- green
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: Integrated PV Charging of EV Fleet Based on Energy Prices, V2G, and Offer of Reserves. https://app.cochat.ai/papers/10.1109/tsg.2017.2763683
- The paper
- Chandra Mouli, G. R., Kefayati, M., Baldick, R., & Bauer, P. (2019). Integrated PV Charging of EV Fleet Based on Energy Prices, V2G, and Offer of Reserves. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2017.2763683
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.