A fuzzy logic based approach for HL1 reliability evaluation

Author

Helal, Ibrahim ; Sharaf, A.M. ; Smolinski, W.J. ; Hill, E.F. ; Marshall, W.K. ; Thorne, D.H. ; Milton, B.E.

Author_Institution

Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada

fYear

1993

fDate

14-17 Sep 1993

Firstpage

1291

Abstract

The paper presents the development of a fuzzy logic inference technique for the hierarchical level one (HL1) reliability for a power system. The inference process is rule based where fuzzy values are assigned to the fuzzy variables. The average unit size, system ratio, forced outage rate and the load factor constitute the left hand side of the fuzzy rule whereas the loss of load expectation is the right hand side consequent. The suggested technique for inferring rather than calculating the loss of load expectation has the advantage of handling the uncertainty that may be associated with the system data. This approach shows satisfactory results

Keywords

fuzzy logic; fuzzy set theory; inference mechanisms; power system analysis computing; power system reliability; uncertainty handling; HL1 reliability evaluation; forced outage rate; fuzzy logic based approach; fuzzy logic inference technique; hierarchical level one reliability; load factor; loss of load expectation; right hand side consequent; system ratio; Artificial intelligence; Character generation; Fuzzy logic; Humans; Power generation; Power system modeling; Power system reliability; Strontium; Switches; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1993. Canadian Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2416-1

Type

conf

DOI

10.1109/CCECE.1993.332493

Filename

332493