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 (DG) connection and increased power flows on transmission interconnectors to and from continental Europe. UK Power Networks (UKPN), the distribution network operator (DNO), has trial led for the first time online contingency analysis on a distribution network in Great Britain. The Kent Active System Management (KASM) project aims to demonstrate the benefits of using a Contingency Analysis System (CAS ) for both, operational and planning time fra mes. This paper describes challenges and the recommended approach to overcom e data exchange and data quality challenges when develop ing a real - time power flow model from existin g datasets . It provides a real world example of dealing with data exchange and also highlights the need for TSO (Transmission System Operator) /D N O coordination
Issue Date: 12-Jun-2017
Date of Acceptance: 24-Mar-2017
URI: http://hdl.handle.net/10044/1/46038
Publisher: IET
Copyright Statement: This paper is embargoed until publication.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
National Grid Electricity Transmission Plc
Funder's Grant Number: EP/I013636/1
PO 3200342629/ TAO/22046
Conference Name: CIRED 2017
Publication Status: Accepted
Start Date: 2017-06-12
Finish Date: 2017-06-15
Conference Place: Glasgow
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Electrical and Electronic Engineering
Centre for Environmental Policy



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