New approach for prediction the DC breakdown voltage using fuzzy logic controller

Abstract

High voltage device design needs predicting the withstanding voltage to assay conditions as pulses, surges and the DC voltage. There is a great designer needed to have reliable design requirements and welldefined simulation procedure for the development of the apparatus. In this paper, Fuzzy Logic (FL) method is used to model breakdown voltage, based on experimental data generated in the laboratory. Different models are proposed with different membership functions for the FL under both DC voltage conditions. The purpose of this article is to investigate the discharge phenomenon for an air gap-point plan at with insulation barrier between themselves. Obtained results are encouraging. Proving that fuzzy logic is a powerful tool that can be used in predicting the properties of the barrier.

Analysis of the neutral grounding modes influence on the reliability characteristics of local systems with renewable energy sources

“…22, No. 1 (2021) Ostapchuk O, Kuznetsov V, Kruczek W, Kuznetsov V, Tsyplenkov D.: Analysis of the neutral modes ... 46 grounding, along with the fulfilment of the requirement to ensure reliability of power supply to consumers, serious attention is drawn to the main network parameters influencing the performance of power supply systems, these include: -insulation levels and overvoltage resistibility (overvoltage protection) [21,22]; -provision of single-phase-to-ground failure protection and its performance; -selectivity of protection actions against ground failures; -safety protection from the effect of touch and step voltages at earth failure.…”

“…When grounding the network neutral through the resistor that provides creation of an active component of the failure current at the level of 50 -100 % of the capacitive one, in case of an arc closure to grounded electrical equipment, the effective value of the resulting failure current will decrease 1.4…2.8 times compared to the possible value in the same network with a fully isolated network neutral [22]. This reduction occurs owing to the effective limitation of overvoltages in the network after each break in the arc of the earth failure.…”

A MLP Neural Network-Based Unified Intelligent Model for Predicting Short-Gap Breakdown Voltages in Air

“…Finally, AI has the particularity of learning from experience and adapting to situations never seen before, which makes it very suitable for the problem of approximating the electrical insulators' breakdown voltages, particularly air. With this in mind, several ingenious research in the field of breakdown voltage estimation based on intelligent regression approaches have been proposed, including those based on neural networks [11][12][13][14][15], those based on Support Vector Regression (SVR) [16][17][18][19][20], those based on Support Vector Machine (SVM) [11,21,22], those based on fuzzy logic [23,24] and those based on extremely randomized trees algorithm [11]. In what follows, we will detail some studies that are pretty similar to ours:  Yang et al and Yao et al [16,17] proposed an intelligent system based on SVR optimized by Cuckoo Search (CS) and weighted by grey relation analysis (CS-ω-SVR) in order to calculate the 50% breakdown voltage of the long rod-rod gap under different atmospheric conditions and different distances.…”