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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/14438

Title: A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power
Authors: Barton, John P.
Infield, David
Keywords: Energy storage
Stand-alone power systems
Modelling
Photovoltaics
Voltage control
Wind power generation
Issue Date: 2005
Publisher: Elsevier / International Power Sources Symposium (IPSS)
Citation: BARTON, J.P. and INFIELD, D.G., 2005. A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power. IN: Stevens, R. and Perrin, M. (eds). Power Sources and the Environment : Proceedings of the 24th International Power Sources Symposium, 18-21 April 2005, Corn Exchange, Brighton, UK. Amsterdam: Elsevier, pp.42-61.
Abstract: This paper describes a novel method of modelling an energy store used to match the power output from a wind turbine and a solar PV array to a varying electrical load. The model estimates the fraction of time that an energy store spends full or empty. It can also estimate the power curtailed when the store is full and the unsatisfied demand when the store is empty. The new modelling method has been validated against time-stepping methods and shows generally good agreement over a wide range of store power ratings, store efficiencies, wind turbine capacities and solar PV capacities. Example results are presented for a system with 1MW of wind power capacity, 2MW of photovoltaic capacity, an energy store of 75% efficiency and a range of loads from 0 to 3MW average.
Description: This is a conference paper. It was also published as a "short communication" in the Journal of Power Sources, 162 (2) pp.943-948 [© Elsevier]: http://dx.doi.org/10.1016/j.jpowsour.2005.07.006.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/14438
Publisher Link: http://www.ipss.org.uk/
ISBN: 0444521958
044452195X
9780444521958
Appears in Collections:Conference Papers and Contributions (CREST)
Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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