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Energy Storage and Its Use With Intermittent Renewable Energy
Open accessAbstract
A simple probabilistic method has been developed to predict the ability of energy storage to increase the penetration of intermittent embedded renewable generation (ERG) on weak electricity grids and to enhance the value of the electricity generated by time-shifting delivery to the network. This paper focuses on the connection of wind generators at locations where the level of ERG would be limited by the voltage rise. Short-term storage, covering less than 1 h, offers only a small increase in the amount of electricity that can be absorbed by the network. Storage over periods of up to one day delivers greater energy benefits, but is significantly more expensive. Different feasible electricity storage technologies are compared for their operational suitability over different time scales. The value of storage in relation to power rating and energy capacity has been investigated so as to facilitate appropriate sizing.
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Cited by
Luo, X., Wang, J., Dooner, M., & Clarke, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.09.081 · Cited by 3,869
Kibria, M. G., Edwards, J. P., Gabardo, C. M., Dinh, C., Seifitokaldani, A., Sinton, D., & Sargent, E. H. (2019) · Advanced Materials · doi:10.1002/adma.201807166 · Cited by 1,331
High-power wind energy conversion systems: State-of-the-art and emerging technologies
Yaramasu, V., Wu, B., Sen, P. C., Kouro, S., & Narimani, M. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2378692 · Cited by 991
Supercapacitor Energy Storage for Wind Energy Applications
Abbey, C., & Joos, G. (2007) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2007.895768 · Cited by 837
Connor, P., Schuch, J., Kaiser, B., & Jaegermann, W. (2020) · Zeitschrift für Physikalische Chemie · doi:10.1515/zpch-2019-1514 · Cited by 351
Metadata
- Authors
- Barton, J. P., & Infield, D. G.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2004-06
- Volume
- 19
- Issue
- 2
- Pages
- 441-448
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2114153151
- Cited by
- 1,388
- References
- 0
- FWCI
- 24.93
- Type
- journal article
- Language
- en
- Open access
- green
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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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