Knowledge based support for multiagent control and automation

Arshad Saleem, Morten Lind

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

Abstract

This paper presents a mechanism for developing knowledge based support in multiagent based control and diagnosis. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism have been used in different scenarios of electric power distribution system protection and control. Results show that agents can use local models of their environment and coordinate with other agents to analyze and understand a disturbance situation and choose an appropriate control action. The paper also introduces Multi Level Flow Modeling (MFM) which has been used to model agent environment and describes development of multiagent implementation of MFM Workbench.
Original languageEnglish
Title of host publicationInnovative Smart Grid Technologies (ISGT), 2011 IEEE PES
PublisherIEEE
Publication date2011
ISBN (Print)978-1-61284-218-9
DOIs
Publication statusPublished - 2011
Event2011 IEEE PES Innovative Smart Grid Technologies - Anaheim, CA, United States
Duration: 17 Jan 201119 Jan 2011
Conference number: 2
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5752642

Conference

Conference2011 IEEE PES Innovative Smart Grid Technologies
Number2
CountryUnited States
CityAnaheim, CA
Period17/01/201119/01/2011
Internet address

Keywords

  • Multiagent Systems
  • Power Systems
  • Intelligent Control
  • Situation Awareness
  • Control Situations
  • Means-Ends reasoning

Fingerprint Dive into the research topics of 'Knowledge based support for multiagent control and automation'. Together they form a unique fingerprint.

Cite this