DocumentCode :
3099872
Title :
Power Distribution Outage Cause Identification using Fuzzy Artificial Immune Recognition Systems (FAIRS) algorithm
Author :
Xu, Le ; Chow, Mo-Yuen ; Timmis, Jon
Author_Institution :
InfraSource Technol., Raleigh, NC
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
artificial immune systems; fault diagnosis; fuzzy set theory; power distribution; power engineering computing; Duke energy outage data; biological immune system; fuzzy artificial immune systems algorithm; fuzzy classification E-algorithm; power distribution system outage; Animals; Biology computing; Data mining; Fuzzy systems; Immune system; Inference algorithms; Lightning; Power distribution; Power system restoration; Reliability; Artificial Immune System; Data Mining; Fault Diagnosis; Fuzzy Classification; G-mean; Power Distribution Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385998
Filename :
4275764
Link To Document :
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