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Joint optimization of generation and storage in the presence of wind

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Liu, Fei, Giulietti, Monica and Chen, Bo (2016) Joint optimization of generation and storage in the presence of wind. IET Renewable Power Generation, 10 (10). pp. 1477-1487. doi:10.1049/iet-rpg.2015.0547 ISSN 1752-1424.

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Official URL: http://dx.doi.org/10.1049/iet-rpg.2015.0547

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Abstract

We study an independent grid where the penetration of wind energy is high and exploit the joint planning of energy storage and a renewable energy source, as it can potentially result in a more economical and efficient energy system. More specifically, we consider an energy system that consists of a gas-fired plant, and a small wind farm with a capacity for energy storage. We assume that the gas-fired plant has a maximum generation capacity that is no more than the electricity demand. We first propose an optimization model with known wind speed and electricity demand. Then we gradually extend this deterministic model to take into account the stochastic nature of the renewable energy source and electricity demand. Furthermore, we consider the possibility of connecting our system to the National Grid, which we import from or export to when our system has an energy shortage or surplus in meeting the demand. Our results provide helpful insights in planning the joint deployment of generation capacity and energy storage, and show that the system operates more efficiently and economically when it is connected to the National Grid.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Energy storage, Electric power distribution
Journal or Publication Title: IET Renewable Power Generation
Publisher: The Institution of Engineering and Technology
ISSN: 1752-1424
Official Date: 9 April 2016
Dates:
DateEvent
9 April 2016Published
18 April 2016Accepted
22 November 2015Submitted
Volume: 10
Number: 10
Number of Pages: 19
Page Range: pp. 1477-1487
DOI: 10.1049/iet-rpg.2015.0547
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 20 April 2016
Date of first compliant Open Access: 21 April 2016
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Grant number: EP/K002228/1 (EPSRC)
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