Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1993.332493
