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Cited by 291

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

Whole-Systems Assessment of the Value of Energy Storage in Low-Carbon Electricity Systems

Pudjianto, Danny, Aunedi, Marko, Djapic, Predrag, Strbac, Goran·2014·IEEE Transactions on Smart Grid

Abstract

Energy storage represents one of the key enabling technologies to facilitate an efficient system integration of intermittent renewable generation and electrified transport and heating demand. This paper presents a novel whole-systems approach to valuing the contribution of grid-scale electricity storage. This approach simultaneously optimizes investment into new generation, network and storage capacity, while minimising system operation cost, and also considering reserve and security requirements. Case studies on the system of Great Britain (GB) with high share of renewable generation demonstrate that energy storage can simultaneously bring benefits to several sectors, including generation, transmission and distribution, while supporting real-time system balancing. The analysis distinguishes between bulk and distributed storage applications, while also considering the competition against other technologies, such as flexible generation, interconnection and demand-side response.

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Crossref · 10.1109/tsg.2013.2282039

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Metadata

Authors
Pudjianto, D., Aunedi, M., Djapic, P., & Strbac, G.
Venue
IEEE Transactions on Smart Grid
Published
2014-03
Volume
5
Issue
2
Pages
1098-1109
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W1969653780
Cited by
291
References
15
FWCI
11.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Whole-Systems Assessment of the Value of Energy Storage in Low-Carbon Electricity Systems. https://app.cochat.ai/papers/10.1109/tsg.2013.2282039
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Pudjianto, D., Aunedi, M., Djapic, P., & Strbac, G. (2014). Whole-Systems Assessment of the Value of Energy Storage in Low-Carbon Electricity Systems. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2013.2282039

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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