Challenges in model and data merging for the implementation of a distribution network contingency analysis tool
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Published version
Author(s)
Huyghues-Beaufond, N
Jakeman, A
Tindemans, S
Strbac, G
Type
Conference Paper
Abstract
The electricity network in the South East of England has become more challenging to manage both for the transmission and distribution network operators due to increased distributed generation connection and increased power flows on transmission interconnectors to and from continental Europe. UK Power Networks (UKPN), the distribution network operator (DNO), has trialled for the first time online contingency analysis on a distribution network in Great Britain. The Kent Active System Management project aims to demonstrate the benefits of using a contingency analysis system for both operational and planning time frames. This study describes challenges and the recommended approach to overcome data exchange and data-quality challenges when developing a real-time power flow model from existing datasets. It provides a real-world example of dealing with data exchange and also highlights the need for transmission system operator/DNO coordination.
Date Issued
2017-10
Date Acceptance
2017-03-24
Citation
CIRED – Open Access Proceedings Journal, 2017, 2017 (1), pp.1621-1624
ISSN
2515-0855
Publisher
IET
Start Page
1621
End Page
1624
Journal / Book Title
CIRED – Open Access Proceedings Journal
Volume
2017
Issue
1
Copyright Statement
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
License URL
Sponsor
National Grid Electricity Transmission Plc
Engineering & Physical Science Research Council (EPSRC)
Grant Number
PO 3200342629/ TAO/22046
EP/I013636/1
Source
24th International Conference & Exhibition on Electricity Distribution (CIRED)
Publication Status
Accepted
Start Date
2017-06-12
Finish Date
2017-06-15
Coverage Spatial
Glasgow
Date Publish Online
2017-10-01