go to top scroll for more

AURA-NMS: Autonomous Regional Active Network Management System

Reference Number
EP/E003583/1
Title
AURA-NMS: Autonomous Regional Active Network Management System
Status
Completed
Energy Categories
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Basic and strategic applied research
Applied Research and Development
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Professor T Green
Department of Electrical and Electronic Engineering
Imperial College London
Award Type
Standard
Funding Source
EPSRC
Start Date
01 January 2007
End Date
30 June 2010
Duration
42 months
Total Grant Value
£2,512,336
Industrial Sectors
Electrical engineering
Region
London
Programme
Energy Multidisciplinary Applications
Investigators
Principal Investigator
Professor T Green, Department of Electrical and Electronic Engineering, Imperial College London
Other Investigator
Prof GA Ault, Electronic and Electrical Engineering, University of Strathclyde
Dr J Barria, Department of Electrical and Electronic Engineering, Imperial College London
Professor JW Bialek, Engineering, Durham University
Professor RM Goodall, Electronic and Electrical Engineering, Loughborough University
Professor N Jenkins, Engineering, Cardiff University
Dr F Li, Electronic and Electrical Engineering, University of Bath
Dr S McArthur, Electronic and Electrical Engineering, University of Strathclyde
Professor J McDonald, Electronic and Electrical Engineering, University of Strathclyde
Professor P Moore, Electronic and Electrical Engineering, University of Strathclyde
Professor G Strbac, Department of Electrical and Electronic Engineering, Imperial College London
Professor PC Taylor, Engineering, Durham University
Dr A Zolotas, Sch of Engineering and Informatics, University of Sussex
Industrial Collaborator
Project Contact, SP Power Systems Limited
Web Site
Objectives
Abstract
Electricity is so deeply ingrained in everyday life that when it is not available many things, essential and simply pleasurable, cease working. Finding ways to better manage faults in electricity distribution systems is a key way of improving the quality of supply offered to customers. Society also faces choices about its sources of energy and we need to find ways to remove technical barriers to the connection of small scale renewable generation without large cost penalties. The reasons that both of these tasks are difficult are (i) that the low voltage part of the distribution system was designed for simple operation without active control and (ii) the distribution system is very large and overall central control is not realistic. Solutions are also constrained by the large amount of existing equipment that is only part way through a long service life and is too expensive to replace prematurely. This project will explore a means to gradually devolving control authority from the existing central control room (which is semi-automated and semi-manual) and use a peer-to-peer network of controllers/decision-makers placed at each substation. The controllers can open and close remotely controlled switches to reallocate loads to different parts of the network and take various voltage correction actions. There is a strong need for communication to obtain feedback information and to allow a controller with only a partial view of the system to cooperate in finding an optimal setof actions to take in the event of a fault, an out-of-tolerance voltage or a generator whose output is being limited by network constraints. The project is challenging because it requires integration of research in distributed control, decision making, network analysis and communications. For this reason we have assembled a team drawn from 7 universities and 3 major international companies in the power industry
Data

No related datasets

Projects

No related projects

Publications

No related publications

Added to Database
07/03/07