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

Infield, D.G. and Barton, John P (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. ISSN 0378-7753

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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.

  • Item type:Article
    ID code:12268
    Dates:
    Date
    Event
    22 November 2006
    Published
    11 August 2005
    Published Online
    Keywords:energy storage, stand-alone power systems, modelling, photovoltaics, voltage control, wind power generation, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Physical and Theoretical Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, SDG 7 - Affordable and Clean Energy
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Strathprints Administrator
    Date deposited:24 Nov 2011 14:29
    Last modified:15 Sep 2021 16:22
    URI:https://strathprints.strath.ac.uk/id/eprint/12268
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