Modeling Control Situations in Power System Operations

Arshad Saleem, Morten Lind, Sri Niwas Singh

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Increased interconnection and loading of the power system along with deregulation has brought new challenges for electric power system operation, control and automation. Traditional power system models used in intelligent operation and control are highly dependent on the task purpose. Thus, a model for intelligent operation and control must represent system features, so that information from measurements can be related to possible system states and to control actions. These general modeling requirements are well understood, but it is, in general, difficult to translate them into a model because of the lack of explicit principles for model construction. This paper presents a work on using explicit means-ends model based reasoning about complex control situations which results in maintaining consistent perspectives and selecting appropriate control action for goal driven agents. An example of power system operation and control has been described using the multilevel flow modeling approach.
Original languageEnglish
Title of host publicationAIS 2010
PublisherIEEE Computer Society Press
Publication date2010
ISBN (Print)9781424471072
Publication statusPublished - 2010
EventInternational Conference on Autonomous and Intelligent Systems - Povoa de Varzim, Portugal
Duration: 1 Jan 2010 → …
Conference number: 1


ConferenceInternational Conference on Autonomous and Intelligent Systems
CityPovoa de Varzim, Portugal
Period01/01/2010 → …


  • Multi-agent systems
  • Multilevel flow modeling
  • Power system operation
  • Means-ends reasoning
  • Intelligent control
  • Situation awareness

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