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The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Sizing of Energy Storage for Microgrids

Chen, S. X., Gooi, H. B., Wang, M. Q.·2012·IEEE Transactions on Smart Grid

Abstract

This paper presents a new method based on the cost-benefit analysis for optimal sizing of an energy storage system in a microgrid (MG). The unit commitment problem with spinning reserve for MG is considered in this method. Time series and feed-forward neural network techniques are used for forecasting the wind speed and solar radiations respectively and the forecasting errors are also considered in this paper. Two mathematical models have been built for both the islanded and grid-connected modes of MGs. The main problem is formulated as a mixed linear integer problem (MLIP), which is solved in AMPL (A Modeling Language for Mathematical Programming). The effectiveness of the approach is validated by case studies where the optimal system energy storage ratings for the islanded and grid-connected MGs are determined. Quantitative results show that the optimal size of BESS exists and differs for both the grid-connected and islanded MGs in this paper.

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Crossref · 10.1109/tsg.2011.2160745

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Metadata

Authors
Chen, S. X., Gooi, H. B., & Wang, M. Q.
Venue
IEEE Transactions on Smart Grid
Published
2012-03
Volume
3
Issue
1
Pages
142-151
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W1981585916
Cited by
916
References
15
FWCI
50.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sizing of Energy Storage for Microgrids. https://app.cochat.ai/papers/10.1109/tsg.2011.2160745
The paper
Chen, S. X., Gooi, H. B., & Wang, M. Q. (2012). Sizing of Energy Storage for Microgrids. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2160745

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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.