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Cited by 310

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids

Open access
Tant, Jeroen, Geth, Frederik, Six, Daan, Tant, Peter, Driesen, Johan·2013·IEEE Transactions on Sustainable Energy

Abstract

This paper investigates the potential of using battery energy storage systems in the public low-voltage distribution grid, to defer upgrades needed to increase the penetration of photovoltaics (PV). A multiobjective optimization method is proposed to visualize the trade-offs between three objective functions: voltage regulation, peak power reduction, and annual cost. The method is applied to a near-future scenario, based on a real residential feeder. The results provide insight into the dimensioning and the required specifications of the battery and the inverter. It is found that an inverter without batteries already achieves part of the objectives. Therefore, the added value of batteries to an inverter is discussed. Furthermore, a comparison between lithium–ion and lead–acid battery technologies is presented.

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Crossref · 10.1109/tste.2012.2211387

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Metadata

Authors
Tant, J., Geth, F., Six, D., Tant, P., & Driesen, J.
Venue
IEEE Transactions on Sustainable Energy
Published
2013-01
Volume
4
Issue
1
Pages
182-191
ISSN
  • 1949-3029 (ISSN-L)
  • 1949-3037
OpenAlex
W2003589662
Cited by
310
References
17
FWCI
13.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids. https://app.cochat.ai/papers/10.1109/tste.2012.2211387
The paper
Tant, J., Geth, F., Six, D., Tant, P., & Driesen, J. (2013). Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids. IEEE Transactions on Sustainable Energy. https://doi.org/10.1109/tste.2012.2211387

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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.