Power distribution outage cause identification using Fuzzy Artificial Immune Recognition Systems (FAIRS) algorithm

Le Xu*, Mo Yuen Chow, Jon Timmis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


Power distribution systems have been significantly affected by many events. Effective outage cause identification can help expedite the restoration procedure and improve the system reliability. Fuzzy classification E-algorithm and biological immune system based AIRS algorithm have demonstrated good capability in outage cause identification especially with imbalanced data. E-algorithm can produce inference rules but is computational demanding; AIRS has the quick searching capability but is lack of rule extraction capability. In this paper, Fuzzy Artificial Immune Recognition System (FAIRS) has been proposed to utilize the advantages of both E-algorithm and AIRS. FAIRS is applied to Duke Energy outage data for cause identification using three major causes (tree, animal, and lightning) as prototypes. It is compared with both E-algorithm and AIRS, and the results show that FAIRS achieves comparable performance while being able to extract linguistic rules with rule length flexibility to explain the inference with significantly reduced computing time than E-algorithm.

Original languageEnglish
Title of host publication2007 IEEE Power Engineering Society General Meeting, PES
PublisherIEEE Press
ISBN (Print)1424412986, 9781424412983
Publication statusPublished - 2007
Event2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL, United States of America
Duration: 24 Jun 200728 Jun 2007

Publication series

Name2007 IEEE Power Engineering Society General Meeting, PES


Conference2007 IEEE Power Engineering Society General Meeting, PES
Country/TerritoryUnited States of America
CityTampa, FL
Period24 Jun 200728 Jun 2007


  • Artificial immune system
  • Data mining
  • Fault diagnosis
  • Fuzzy classification
  • G-mean
  • Power distribution systems

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