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Cited by 275

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Review of energy storage allocation in power distribution networks: applications, methods and future research

Open access
Zidar, Matija, Georgilakis, Pavlos S., Hatziargyriou, Nikos D., Capuder, Tomislav, Škrlec, Davor·2016·IET Generation, Transmission & Distribution

Abstract

Changes in the electricity business environment, dictated mostly by the increasing integration of renewable energy sources characterised by variable and uncertain generation, create new challenges especially in the liberalised market environment. The role of energy storage systems (ESS) is recognised as a mean to provide additional system security, reliability and flexibility to respond to changes that are still difficult to accurately forecast. However, there are still open questions about benefits these units bring to the generation side, system operators and the consumers. This study provides a comprehensive overview of the current research on ESS allocation (ESS sizing and siting), giving a unique insight into issues and challenges of integrating ESS into distribution networks and thus giving framework guidelines for future ESS research.

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Crossref · 10.1049/iet-gtd.2015.0447

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Metadata

Authors
Zidar, M., Georgilakis, P. S., Hatziargyriou, N. D., Capuder, T., & Škrlec, D.
Venue
IET Generation, Transmission & Distribution
Published
2016-02
Volume
10
Issue
3
Pages
645-652
ISSN
  • 1751-8687 (ISSN-L)
  • 1751-8695
OpenAlex
W1824690553
Cited by
275
References
47
FWCI
13.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Review of energy storage allocation in power distribution networks: applications, methods and future research. https://app.cochat.ai/papers/10.1049/iet-gtd.2015.0447
The paper
Zidar, M., Georgilakis, P. S., Hatziargyriou, N. D., Capuder, T., & Škrlec, D. (2016). Review of energy storage allocation in power distribution networks: applications, methods and future research. IET Generation, Transmission & Distribution. https://doi.org/10.1049/iet-gtd.2015.0447

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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.