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Cited by 498

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Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System

Open access
Mercier, P., Cherkaoui, R., Oudalov, A.·2009·IEEE Transactions on Power Systems

Abstract

This paper presents a method for optimal sizing and operation of a battery energy storage system (BESS) used for spinning reserve in a small isolated power system. Numerical simulations are performed on a load-frequency control (LFC) dynamic simulator of the isolated network. A novel control algorithm using adjustable state of charge limits is implemented and tested on a BESS dynamic model. An optimal sizing procedure of the BESS is developed for an isolated power system in order to achieve highest expected profitability of the device. The BESS can increase significantly the power system stability, the grid security, and the planning flexibility for a small isolated power system with low grid inertia. Meanwhile, it fulfills the frequency control requirements with a high expected economic profitability.

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Metadata

Authors
Mercier, P., Cherkaoui, R., & Oudalov, A.
Venue
IEEE Transactions on Power Systems
Published
2009-08
Volume
24
Issue
3
Pages
1469-1477
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W2116525489
Cited by
498
References
0
FWCI
9.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System. https://app.cochat.ai/papers/10.1109/tpwrs.2009.2022997
The paper
Mercier, P., Cherkaoui, R., & Oudalov, A. (2009). Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2009.2022997

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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.