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A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power

journal contribution
posted on 25.02.2013 by John Barton, David Infield
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 1 MW of wind power capacity, 2 MW of photovoltaic capacity, an energy store of 75% efficiency and a range of loads from 0 to 3 MW average.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Citation

BARTON, J.P. and INFIELD, D.G., 2006. A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power. Journal of Power Sources, 162 (2), pp. 943 - 948.

Publisher

© Elsevier B.V.

Version

VoR (Version of Record)

Publication date

2006

Notes

Closed access. This article was published in the Journal of Power Sources [© Elsevier B.V.] and the definitive version is available at: http://dx.doi.org/10.1016/j.jpowsour.2005.07.006

ISSN

0378-7753

Language

en

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