A fuzzy logic application to represent load sensitivity to voltage sags

TitleA fuzzy logic application to represent load sensitivity to voltage sags
Publication TypeConference Paper
Year of Publication1998
AuthorsBonatto, B. D., T. Niimura, and H. W. Dommel
Conference NameHarmonics And Quality of Power, 1998. Proceedings. 8th International Conference on
Pagination60 -64 vol.1
Date Publishedoct.
Keywordscase study application, computer power supplies, computer power supply, fuzzy logic, fuzzy logic application, fuzzy set theory, fuzzy sets, IF-THEN inference rules, inference mechanisms, load reliability uncertainty, load sensitivity, power quality, power quality disturbance diagnosis, power supply quality, power system faults, voltage sags

This paper presents a case study application of fuzzy logic in a power quality issue. It describes the computer-based load sensitivity to voltage sags, by using fuzzy sets and IF-THEN inference rules. The load sensitivity is based on the steady-state and transient voltage versus time profile according to the IEEE Std. 446, also referred to as the CBEMA (Computer Based Equipment Manufacturer Association) curve. Fuzzy logic allows the modeling of the inherent uncertainty of the load reliability. This expresses how the success or failure of computer based loads is correlated with short term voltage variations in the electric supply system. A fuzzy inference system is experimentally implemented for these cases, showing the general procedures of how to use this theory. It appears that fuzzy set theory can play an important role in diagnosing power quality disturbances, and hence it can offer insights towards the satisfaction of the needs of manufacturers, utilities and customers


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia