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

Full text not available in this repository.Request a copy from the Strathclyde author

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.

Creators(s): Infield, D.G. and Barton, John P;
Item type:Article
ID code:12268
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
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:27 Feb 2020 01:56
URI:https://strathprints.strath.ac.uk/id/eprint/12268
Export data:
CORE (COnnecting REpositories)