On-line Markov chain based thermal risk estimation for offshore wind farm cables
On-line Markov chain based thermal risk estimation for offshore wind farm cables
This paper proposes the use of a Markov Chain and Monte Carlo Analysis to estimate likely thermal risk of cable overheating in submarine export cables 6 hours ahead. The methodology can account for the uncertainty in the load current transferred by offshore cables which is the product of wind variations. The estimated conductor temperature and thermal risks calculated by the methodology shown a close resemblance to the real conductor temperature and thus a high percentage of successful thermal risk estimations 6 hours ahead of up 98% over one year of testing was estimated.
Hernandez Colin, Maria, Angelica
8f523b8a-5c1d-4742-a72b-dd94bd5afa3d
Pilgrim, James
4b4f7933-1cd8-474f-bf69-39cefc376ab7
19 October 2018
Hernandez Colin, Maria, Angelica
8f523b8a-5c1d-4742-a72b-dd94bd5afa3d
Pilgrim, James
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Hernandez Colin, Maria, Angelica and Pilgrim, James
(2018)
On-line Markov chain based thermal risk estimation for offshore wind farm cables.
17th Wind Integration Workshop, KTH Royal Institute of Technology, Stockholm, Sweden.
17 - 19 Oct 2018.
4 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper proposes the use of a Markov Chain and Monte Carlo Analysis to estimate likely thermal risk of cable overheating in submarine export cables 6 hours ahead. The methodology can account for the uncertainty in the load current transferred by offshore cables which is the product of wind variations. The estimated conductor temperature and thermal risks calculated by the methodology shown a close resemblance to the real conductor temperature and thus a high percentage of successful thermal risk estimations 6 hours ahead of up 98% over one year of testing was estimated.
Text
WIW18-163LAST
- Accepted Manuscript
Restricted to Registered users only
Request a copy
More information
Submitted date: 31 August 2018
Published date: 19 October 2018
Venue - Dates:
17th Wind Integration Workshop, KTH Royal Institute of Technology, Stockholm, Sweden, 2018-10-17 - 2018-10-19
Identifiers
Local EPrints ID: 423163
URI: http://eprints.soton.ac.uk/id/eprint/423163
PURE UUID: e89ce1de-fd67-4fa3-893b-14685f22531b
Catalogue record
Date deposited: 19 Sep 2018 16:30
Last modified: 16 Mar 2024 03:49
Export record
Contributors
Author:
Maria, Angelica Hernandez Colin
Author:
James Pilgrim
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics