Browse by author
Lookup NU author(s): Dr Peter Davison, Dr Padraig LyonsORCiD, Professor Phil Taylor
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2019 Real-Time and Dynamic Thermal Ratings have been discussed in the literature as potential methods to increase network headroom, typically to allow the connection of distributed generators, mitigating the need for network reinforcement. The work presented in this paper considers the effectiveness of these techniques in terms of possible consumer connections as opposed to generation. A generalized temperature sensitive load modelling procedure is presented in order to derive representative demand group time-series profiles, and as such model the possible connections across the entire seasonal cycle. The procedure has been tested against real-world data taken from a rural 20 kV feeder in the North of England detailing the period October 2013–October 2014. This work was carried out as part of the LCNF funded Customer-Led Network Revolution (CLNR) smart grid project.
Author(s): Davison PJ, Lyons PF, Taylor PC
Publication type: Article
Publication status: Published
Journal: International Journal of Electrical Power and Energy Systems
Year: 2019
Volume: 112
Pages: 1-11
Print publication date: 01/11/2019
Online publication date: 24/04/2019
Acceptance date: 31/03/2019
Date deposited: 10/06/2019
ISSN (print): 0142-0615
ISSN (electronic): 1879-3517
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.ijepes.2019.03.071
DOI: 10.1016/j.ijepes.2019.03.071
Altmetrics provided by Altmetric