A fuzzy logic optimization methodology for the estimation of the critical flashover voltage on insulators

• Published in: Electric power systems research Vol. 81; no. 2; pp. 580 - 588
• Main Authors: Asimakopoulou, G.E., Kontargyri, V.T., Tsekouras, G.J., Elias, Ch. N., Asimakopoulou, F.E., Stathopulos, I.A.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01-02-2011; Elsevier
• Subjects: Applied sciences; Confidence interval; Connection and protection apparatus; Critical flashover voltage; Electrical engineering. Electrical power engineering; Exact sciences and technology; Fuzzy logic; High voltage insulators; Insulators; Materials; Polluted insulators; Various equipment and components; Fuzzy logic; Critical flashover voltage; High voltage insulators; Polluted insulators; Confidence interval; Membership function; Fuzzy system; Dielectric materials; High voltage insulator; Fuzzy programming; Critical voltage; Electric discharge; Learning; Electric insulating material; Electrical flashover; Sampling; Comparative study
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2010.10.024

The objective of this paper is to present a new methodology for predicting the critical flashover voltage of polluted insulators based on fuzzy logic. The prediction contains not only the estimated value, but also the respective confidence interval based on the re-sampling method. Various parameters, such as the number and the base width of the triangular membership functions used for the fuzzification process, etc., are assigned different values in order to optimize the estimation of the critical flashover voltage. Additionally, different methods for training the fuzzy system are applied and compared for their appropriateness in accurately predicting the critical flashover voltage.