Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/11464| Title: | Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty |
| Authors: | Vaccaro, A Pisani, C Zobaa, AF |
| Keywords: | Power system interconnection;Affine transforms;Power generation scheduling |
| Issue Date: | 2015 |
| Publisher: | IET |
| Citation: | IET Generation, Transmission and Distribution, 9(13): 1544 - 1552, (2015) |
| Abstract: | In this study, the role of self-validated computing for solving the energy hub-scheduling problem in the presence of multiple and heterogeneous sources of data uncertainties is explored and a new solution paradigm based on affine arithmetic is conceptualised. The benefits deriving from the application of this methodology are analysed in details, and several numerical results are presented and discussed. |
| URI: | http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0197 http://bura.brunel.ac.uk/handle/2438/11464 |
| DOI: | http://dx.doi.org/10.1049/iet-gtd.2015.0197 |
| ISSN: | 1751-8687 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 568.76 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.