A fuzzy logic optimization methodology for the estimation of the critical flashover voltage on insulators |
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| Authors: | G.E. AsimakopoulouV.T. Kontargyri G.J. TsekourasCh. N. Elias F.E. AsimakopoulouI.A. Stathopulos |
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| Affiliation: | a Electric Power Department, School of Electrical & Computer Engineering, National Technical University of Athens, 9, Iroon Polytecheniou Street, 157 80, Zografou Campus, Athens, Greece
b Department of Electrical Engineering and Computer Science, Hellenic Naval Academy, Terma Hatzikiriaku, 185 39, Piraeus- Athens, Greece |
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| Abstract: | 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. |
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| Keywords: | Critical flashover voltage Confidence interval Fuzzy logic High voltage insulators Polluted insulators |
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