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Cited by 511

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Control Strategies for Battery Energy Storage for Wind Farm Dispatching

Teleke, S., Baran, M.E., Huang, A.Q., Bhattacharya, S., Anderson, L.·2009·IEEE Transactions on Energy Conversion

Abstract

Integrating a battery energy storage system (BESS) with a large wind farm can smooth out the intermittent power from the wind farm. This paper focuses on development of a control strategy for optimal use of the BESS for this purpose. The paper considers a conventional feedback-based control scheme with revisions to incorporate the operating constraints of the BESS, such as state of charge limits, charge/discharge rate, and lifetime. The goal of the control is to have the BESS provide as much smoothing as possible so that the wind farm can be dispatched on an hourly basis based on the forecasted wind conditions. The effectiveness of this control strategy has been tested by using an actual wind farm data. Finally, it is shown that the control strategy is very important in determining the proper BESS size needed for this application.

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Metadata

Authors
Teleke, S., Baran, M. E., Huang, A. Q., Bhattacharya, S., & Anderson, L.
Venue
IEEE Transactions on Energy Conversion
Published
2009-09
Volume
24
Issue
3
Pages
725-732
ISSN
0885-8969 (ISSN-L)
OpenAlex
W2140281103
Cited by
511
References
0
FWCI
25.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Control Strategies for Battery Energy Storage for Wind Farm Dispatching. https://app.cochat.ai/papers/10.1109/tec.2009.2016000
The paper
Teleke, S., Baran, M. E., Huang, A. Q., Bhattacharya, S., & Anderson, L. (2009). Control Strategies for Battery Energy Storage for Wind Farm Dispatching. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2009.2016000

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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.