The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life
Open accessAbstract
Large-scale battery storage will become an essential part of the future smart grid. This paper investigates the optimal bidding strategy for battery storage in power markets. Battery storage could increase its profitability by providing fast regulation service under a performance-based regulation mechanism, which better exploits a battery’s fast ramping capability. However, battery life might be decreased by frequent charge–discharge cycling, especially when providing fast regulation service. It is profitable for battery storage to extend its service life by limiting its operational strategy to some degree. Thus, we incorporate a battery cycle life model into a profit maximization model to determine the optimal bids in day-ahead energy, spinning reserve, and regulation markets. Then a decomposed online calculation method to compute cycle life under different operational strategies is proposed to reduce the complexity of the model. This novel bidding model would help investor-owned battery storages better decide their bidding and operational schedules and investors to estimate the battery storage’s economic viability. The validity of the proposed model is proven by case study results.
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
Bradbury, K., Pratson, L., & Patiño-Echeverri, D. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.10.010 · Cited by 359
Schaltz, E., Khaligh, A., & Rasmussen, P. O. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2027909 · Cited by 357
Energy analysis of batteries in photovoltaic systems. Part I: Performance and energy requirements
Rydh, C. J., & Sandén, B. A. (2005) · Energy Conversion and Management · doi:10.1016/j.enconman.2004.10.003 · Cited by 315
An Efficient Implementation of the Rainflow Counting Algorithm for Life Consumption Estimation
Musallam, M., & Johnson, C. M. (2012) · IEEE Transactions on Reliability · doi:10.1109/tr.2012.2221040 · Cited by 259
On the importance of reducing the energetic and material demands of electrical energy storage
Barnhart, C. J., & Benson, S. M. (2013) · Energy & Environmental Science · doi:10.1039/c3ee24040a · Cited by 256
Energy Management for Lifetime Extension of Energy Storage System in Micro-Grid Applications
Tran, D., & Khambadkone, A. M. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2272835 · Cited by 225
Dragičević, T., Pandžić, H., Škrlec, D., Kuzle, I., Guerrero, J. M., & Kirschen, D. S. (2014) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2014.2316480 · Cited by 138
Karimi, A., Daraeepour, A., & Monsef, H. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.06.043 · Cited by 135
Swierczynski, M. J., Stroe, D., Stan, A.-I., Teodorescu, R., & Sauer, D. U. (2013) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2013.2273989 · Cited by 133
Value of NAS Energy Storage Toward Integrating Wind: Results From the Wind to Battery Project
Tewari, S., & Mohan, N. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2205278 · Cited by 100
Cited by
Amin, M., Shah, H. H., Fareed, A. G., Khan, W. U., Chung, E., Zia, A., Rahman Farooqi, Z. U., & Lee, C. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.07.172 · Cited by 608
Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets
Xu, B., Zhao, J., Zheng, T., Litvinov, E., & Kirschen, D. S. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2733339 · Cited by 384
Ding, L., Han, Q.-L., Ning, B., & Yue, D. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2955739 · Cited by 258
Tang, H., & Wang, S. (2021) · Energy · doi:10.1016/j.energy.2021.119756 · Cited by 130
Metadata
- Authors
- He, G., Chen, Q., Kang, C., Pinson, P., & Xia, Q.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2016-09
- Volume
- 7
- Issue
- 5
- Pages
- 2359-2367
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2507962373
- Cited by
- 508
- References
- 13
- FWCI
- 14.76
- 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: Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life. https://app.cochat.ai/papers/10.1109/tsg.2015.2424314
- The paper
- He, G., Chen, Q., Kang, C., Pinson, P., & Xia, Q. (2016). Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2015.2424314
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.
