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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/11766

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: 2006
Publisher: © Elsevier B.V.
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.
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 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.
Description: 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
Version: Published
DOI: 10.1016/j.jpowsour.2005.07.006
URI: https://dspace.lboro.ac.uk/2134/11766
Publisher Link: http://dx.doi.org/10.1016/j.jpowsour.2005.07.006
ISSN: 0378-7753
Appears in Collections:Closed Access (CREST)
Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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