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 |
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