A fuzzy logic based approach for HL1 reliability evaluation
Ibrahim Helal; Sharaf, A.M; Smolinski, W.J.; Hill, E.F.; Marshall, W.K; Thorne, D.H; Milton, B.E;
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
Other data
| Title | A fuzzy logic based approach for HL1 reliability evaluation | Authors | Ibrahim Helal ; Sharaf, A.M; Smolinski, W.J.; Hill, E.F.; Marshall, W.K; Thorne, D.H; Milton, B.E | Keywords | Computer circuits; Electric load loss; Electroplating shops; Fuzzy logic; Loss of load probability; Forced outage rates; Fuzzy logic based approach; Fuzzy logic inference; Hierarchical level; Inference process; Loss of load expectation; Reliability Evaluation; Right-hand sides; Fuzzy inference | Issue Date | Sep-1993 | Start page | 1291 | End page | 1294 | Conference | Canadian Conference on Electrical and Computer Engineering, CCECE 1993 | ISSN | Canadian Conference on Electrical and Computer Engineering |
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