The Library
Joint optimization of generation and storage in the presence of wind
Tools
Tools
Tools
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.
![[img]](https://wrap.warwick.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
WRAP_Chen_Preprint IET-RPG-2016-04-12.pdf - Accepted Version - Requires a PDF viewer. Download (1628Kb) |
|
|
PDF
WRAP_Chen_Preprint IET-RPG-2016-04-12.pdf - Accepted Version - Requires a PDF viewer. Download (1297Kb) | Preview |
Official URL: http://dx.doi.org/10.1049/iet-rpg.2015.0547
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: |
|
||||||||
| 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) | ||||||||
| Adapted As: | |||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
