The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Survey of Energy Management in Interconnected Multi-Microgrids
Open accessAbstract
An interconnected multi-microgrids (IMMGs) system takes advantage of various complementary power sources and effectively coordinates the energy sharing/trading among the MGs and the main grid to improve the stability, reliability, and energy efficiency of the system. The core of this structure is to achieve the optimal distribution of energy sharing through proper strategies. However, the volatility and intermittent characteristics of renewable resources, time-varying loads in the MGs, their correlated power generations, and the coupled energy among the MGs during energy trading, all bring about new challenges to achieving a stable operation and optimal scheduling in the power system. Many solutions have been proposed to solve these problems. In this paper, we provide an overview of the current energy management systems (EMS) in IMMGs, focusing on the IMMG structure, EMS objectives, timescales, and scheduling optimization structure. We then provide a review of the distributed optimization algorithms in IMMGs. We conclude this survey with a discussion of future directions.
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
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
Badran, O., Mekhilef, S., Mokhlis, H., & Dahalan, W. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.02.010 · Cited by 214
Cited by
Energy management system for smart grid: An overview and key issues
Rathor, S. K., & Saxena, D. (2020) · International Journal of Energy Research · doi:10.1002/er.4883 · Cited by 494
A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties
Ma, G., Li, J., & Zhang, X.-P. (2022) · IEEE Access · doi:10.1109/access.2022.3192638 · Cited by 65
Metadata
- Authors
- Zou, H., Mao, S., Wang, Y., Zhang, F., Chen, X., & Cheng, L.
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 72158-72169
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2947666304
- Cited by
- 209
- References
- 2
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- gold
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: A Survey of Energy Management in Interconnected Multi-Microgrids. https://app.cochat.ai/papers/10.1109/access.2019.2920008
- The paper
- Zou, H., Mao, S., Wang, Y., Zhang, F., Chen, X., & Cheng, L. (2019). A Survey of Energy Management in Interconnected Multi-Microgrids. IEEE Access. https://doi.org/10.1109/access.2019.2920008
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.
