Supporting control room operators in highly automated future power networks

Minjiang Chen, Victoria Catterson, Mazheruddin Syed, Stephen McArthur, Graeme Burt, Mattia Marinelli, Alexander M. Prostejovsky, Kai Heussen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

Operating power systems is an extremely challenging task, not least because power systems have become highly interconnected, as well as the range of network issues that can occur. It is therefore a necessity to develop decision support systems and visualisation that can effectively support the human operators for decision-making in the complex and dynamic environment of future highly automated power system. This paper aims to investigate the decision support functions associated with frequency deviation events for the proposed Web of Cells concept.
Original languageEnglish
Title of host publicationProceedings of 24th International Conference and Exhibition on Electricity Distribution
Place of PublicationStevenage
Number of pages5
Publication statusAccepted/In press - 24 Mar 2017
Event24th International Conference and Exhibition on Electricity Distribution - Scottish Event Campus, Glasgow, United Kingdom
Duration: 12 Jun 201715 Jun 2017
http://www.cired-2017.org/

Conference

Conference24th International Conference and Exhibition on Electricity Distribution
Abbreviated titleCIRED 2017
CountryUnited Kingdom
CityGlasgow
Period12/06/1715/06/17
Internet address

Keywords

  • power systems
  • decision support systems
  • visualisation
  • Web of Cells
  • decentralized control strategy
  • distributed power system
  • human operator

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  • Projects

    ELECTRA

    Burt, G., Bell, K., Catterson, V., McArthur, S., Roscoe, A. & Hawker, G.

    European Commission - FP7 - Cooperation only

    1/12/1330/11/17

    Project: Research

    Cite this

    Chen, M., Catterson, V., Syed, M., McArthur, S., Burt, G., Marinelli, M., Prostejovsky, A. M., & Heussen, K. (Accepted/In press). Supporting control room operators in highly automated future power networks. In Proceedings of 24th International Conference and Exhibition on Electricity Distribution