Challenges in model and data merging for the implementation of a distribution network contingency analysis tool

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Title: Challenges in model and data merging for the implementation of a distribution network contingency analysis tool
Authors: Huyghues-Beaufond, N
Jakeman, A
Tindemans, S
Strbac, G
Item 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.
Issue Date: Oct-2017
Date of Acceptance: 24-Mar-2017
DOI: 10.1049/oap-cired.2017.0902
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 (
Sponsor/Funder: National Grid Electricity Transmission Plc
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: PO 3200342629/ TAO/22046
Conference Name: 24th International Conference & Exhibition on Electricity Distribution (CIRED)
Publication Status: Accepted
Start Date: 2017-06-12
Finish Date: 2017-06-15
Conference Place: Glasgow
Online Publication Date: 2017-10-01
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Faculty of Natural Sciences
Grantham Institute for Climate Change